David Bader
David Bader
Distinguished Professor, Data Science
Institute for Data Science, Suite 3610, 101 Hudson St, Jersey City, NJ 07302
About Me
David A. Bader is a Distinguished Professor and a founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. He is a Fellow of the IEEE, ACM, AAAS, and SIAM; a recipient of the IEEE Sidney Fernbach Award; and 2022 Innovation Hall of Fame inductee of the University of Maryland's A. James Clark School of Engineering.
Education
Ph.D.; University of Maryland; Electrical Engineering; 1996
M.S.; Lehigh University; Electrical Engineering; 1991
B.S.; Lehigh University; Computer Engineering; 1990
M.S.; Lehigh University; Electrical Engineering; 1991
B.S.; Lehigh University; Computer Engineering; 1990
Awards & Honors
2022 Innovation Hall of Fame inductee, University of Maryland’s A. James School of Engineering
2021 Fellow, ACM
2021 Meritorious Service Award, IEEE Computer Society
2021 Sidney Fernbach Award, IEEE Computer Society
2021 Honorary Member, National Academy of Inventors
2021 Fellow, ACM
2021 Meritorious Service Award, IEEE Computer Society
2021 Sidney Fernbach Award, IEEE Computer Society
2021 Honorary Member, National Academy of Inventors
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2021 Distinguished Visitors Program, IEEE Computer Society
2019 Fellow, SIAM
2014 Outstanding Senior Faculty Research Award, Georgia Tech
2013 Outstanding Service Contributions Award, IEEE Computer Society Technical Committee on Parallel Processing
2012 Distinguished Alumni Award, University of Maryland’s Electrical and Computer Engineering
2012 Fellow, AAAS
2011 Golden Core Member Award, IEEE Computer Society
2010 Fellow, IEEE
2010 Meritorious Service Award, IEEE Computer Society
2007 Dean's Award, Georgia Tech, College of Computing
2002 Lawton-Ellis Award, University of New Mexico
2001 CAREER, National Science Foundation
2001 Regents' Lecturer, University of New Mexico
2000 Junior Research Excellence Award, University of New Mexico
2000 Young Outstanding Engineer Award, IEEE
2019 Fellow, SIAM
2014 Outstanding Senior Faculty Research Award, Georgia Tech
2013 Outstanding Service Contributions Award, IEEE Computer Society Technical Committee on Parallel Processing
2012 Distinguished Alumni Award, University of Maryland’s Electrical and Computer Engineering
2012 Fellow, AAAS
2011 Golden Core Member Award, IEEE Computer Society
2010 Fellow, IEEE
2010 Meritorious Service Award, IEEE Computer Society
2007 Dean's Award, Georgia Tech, College of Computing
2002 Lawton-Ellis Award, University of New Mexico
2001 CAREER, National Science Foundation
2001 Regents' Lecturer, University of New Mexico
2000 Junior Research Excellence Award, University of New Mexico
2000 Young Outstanding Engineer Award, IEEE
COLLAPSE
Website
2024 Fall Courses
CS 726 - INDEPENDENT STUDY II
CS 790A - DOCT DISSERTATION & RES
DS 726 - INDEPENDENT STUDY II
CS 488 - INDEPENDENT STUDY IN CS
CS 701B - MASTER'S THESIS
CS 725 - INDEPENDENT STUDY I
DS 700B - MASTER'S PROJECT
DS 792B - PRE-DOCTORAL RESEARCH
CS 700B - MASTER'S PROJECT
CS 792 - PRE-DOCTORAL RESEARCH
DS 725 - INDEPENDENT STUDY I
DS 790A - DOCT DISSERTATION & RES
CS 790A - DOCT DISSERTATION & RES
DS 726 - INDEPENDENT STUDY II
CS 488 - INDEPENDENT STUDY IN CS
CS 701B - MASTER'S THESIS
CS 725 - INDEPENDENT STUDY I
DS 700B - MASTER'S PROJECT
DS 792B - PRE-DOCTORAL RESEARCH
CS 700B - MASTER'S PROJECT
CS 792 - PRE-DOCTORAL RESEARCH
DS 725 - INDEPENDENT STUDY I
DS 790A - DOCT DISSERTATION & RES
Past Courses
CS 644: INTRODUCTION TO BIG DATA
DS 642: APPLICATIONS OF PARALLEL COMPUTING
DS 642: APPLICATIONS OF PARALLEL COMPUTING
Research Interests
Data Science, High Performance Computing, Real-World Analytics
Conference Paper
A Deployment Tool for Large Scale Graph Analytics Framework Arachne
September 2024
Enhanced Knowledge Graph Attention Networks for Efficient Graph Learning (Outstanding Student Paper Award)
September 2024
VF2-PS: Parallel and Scalable Subgraph Monomorphism in Arachne
September 2024
Graph-Based Profiling of Dependency Vulnerability Remediation
6th International Conference on Science of Cyber Security (SciSec), August 2024
On the Design of Graph Analytical Software in Chapel
The 11th Annual Chapel Implementers and Users Workshop (ChapelCon), June 2024
September 2024
Enhanced Knowledge Graph Attention Networks for Efficient Graph Learning (Outstanding Student Paper Award)
September 2024
VF2-PS: Parallel and Scalable Subgraph Monomorphism in Arachne
September 2024
Graph-Based Profiling of Dependency Vulnerability Remediation
6th International Conference on Science of Cyber Security (SciSec), August 2024
On the Design of Graph Analytical Software in Chapel
The 11th Annual Chapel Implementers and Users Workshop (ChapelCon), June 2024
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Contour Algorithm for Connectivity
The 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), December 2023
Fast Triangle Counting (Graph Challenge Innovation Award)
IEEE, September 2023
Parallel Longest Common SubSequence Analysis In Chapel
IEEE, September 2023
Property Graphs in Arachne
IEEE, September 2023
Triangle Counting Through Cover-Edges (Graph Challenge Student Innovation Award)
IEEE, September 2023
Billion-scale Detection of Isomorphic Nodes
Workshop in Graphs, Architectures, Programming, and Learning (GrAPL), held in conjunction with \textit{The IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023), May 2023
High-Performance Truss Analysis in Arkouda
December 2022
Arachne: An Arkouda Package for Large-Scale Graph Analytics
The 26th Annual IEEE High Performance Extreme Computing Conference, September 2022
Triangle Centrality in Arkouda
{The 26th Annual IEEE High Performance Extreme Computing Conference, September 2022
Parallel Suffix Sorting for Large String Analytics
14th International Conference on Parallel Processing and Applied Mathematics (PPAM), September 2022
Truss Analytics Algorithms and Integration in Arkouda
June 2022
Graph Analysis Trends and Opportunities
November 2014
The 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), December 2023
Fast Triangle Counting (Graph Challenge Innovation Award)
IEEE, September 2023
Parallel Longest Common SubSequence Analysis In Chapel
IEEE, September 2023
Property Graphs in Arachne
IEEE, September 2023
Triangle Counting Through Cover-Edges (Graph Challenge Student Innovation Award)
IEEE, September 2023
Billion-scale Detection of Isomorphic Nodes
Workshop in Graphs, Architectures, Programming, and Learning (GrAPL), held in conjunction with \textit{The IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023), May 2023
High-Performance Truss Analysis in Arkouda
December 2022
Arachne: An Arkouda Package for Large-Scale Graph Analytics
The 26th Annual IEEE High Performance Extreme Computing Conference, September 2022
Triangle Centrality in Arkouda
{The 26th Annual IEEE High Performance Extreme Computing Conference, September 2022
Parallel Suffix Sorting for Large String Analytics
14th International Conference on Parallel Processing and Applied Mathematics (PPAM), September 2022
Truss Analytics Algorithms and Integration in Arkouda
June 2022
Graph Analysis Trends and Opportunities
November 2014
COLLAPSE
Journal Article
Dalzell, Alexander M, & Clader, B. David, & Salton, Grant, & Berta, Mario, & Lin, Cedric Yen-Yu, & Bader, David A, & Stamatopoulos, Nikitas, & Schuetz, Martin J. A., & Brandão, Fernando G.S.L., & Katzgraber, Helmut G., & Zeng, William J. (2023). End-to-end resource analysis for quantum interior point methods and portfolio optimization. PRX Quantum, 4(4), 040325.
Du, Zhihui, & Zhang, Sen, & Bader, David (2023). Tunnel: Parallel-inducing sort for large string analytics. Future Generation Computer Systems, 149, 650-663.
Yang, Chen, & Du, Zhihui, & Meng, Xiaofeng, & Zhang, Xukang, & Hao, Xinli, & Bader, David (2023). Anomaly Detection in Catalog Streams. IEEE Transactions on Big Data, 9(1), 294-311.
Bader, David, & Burkhardt, Paul (2022). A Simple and Efficient Algorithm for Finding Minimum Spanning Tree Replacement Edges. Journal of Graph Algorithms and Applications, 26(4), 577-588.
van der Grinten, Alexander , & Bergamini, Elisabetta, & Green, Oded, & Bader, David, & Meyerhencke, Henning (2022). Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. ACM Journal of Experimental Algorithmics, 22(1.7), 16.
Du, Zhihui, & Zhang, Sen, & Bader, David (2023). Tunnel: Parallel-inducing sort for large string analytics. Future Generation Computer Systems, 149, 650-663.
Yang, Chen, & Du, Zhihui, & Meng, Xiaofeng, & Zhang, Xukang, & Hao, Xinli, & Bader, David (2023). Anomaly Detection in Catalog Streams. IEEE Transactions on Big Data, 9(1), 294-311.
Bader, David, & Burkhardt, Paul (2022). A Simple and Efficient Algorithm for Finding Minimum Spanning Tree Replacement Edges. Journal of Graph Algorithms and Applications, 26(4), 577-588.
van der Grinten, Alexander , & Bergamini, Elisabetta, & Green, Oded, & Bader, David, & Meyerhencke, Henning (2022). Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. ACM Journal of Experimental Algorithmics, 22(1.7), 16.
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Du, Zhihui, & Rodriguez, Oliver Alvarado, & Patchett, Joseph, & Bader, David (2021). Interactive Graph Stream Analytics in Arkouda. Algorithms, 14(8),
Bader, David (2021). Linux and Supercomputing: How my passion for building COTS systems led to an HPC revolution. IEEE Annals on the History of Computing, 43(3),
Goenawan, Ivan Hendy, & Du, Zhihui, & Wu, Chao, & Sun, Yankui, & Wei, Jianyan, & Bader, David (2021). Dynamics Signature based Anomaly Detection. Software: Practice and Experience, 53(1), 160-175.
Gera, Prasun, & Kim, Hyojong, & Sao, Piyush, & Kim, Hyesoon, & Bader, David (2020). Traversing Large Graphs on GPUs with Unified Memory. Proceedings of the VLDB Endowment, 13(7), 1119-1133.
Bader, David (2019). Editorial from the Editor-in-Chief. ACM Transactions on Parallel Computing TOPC, 6(1), 1--2.
Munguía, Lluís-Miquel, & Ahmed, Shabbir, & Bader, David, & Nemhauser, George L., & Shao, Yufen, & Papageorgiou, Dimitri J. (2019). Tailoring parallel alternating criteria search for domain specific MIPs: Application to maritime inventory routing. Computers & Operations Research, 111, 21 - 34.
McLaughlin, Adam, & Bader, David (2018). Accelerating GPU betweenness centrality. Communications of the ACM, 61(8), 85--92.
Lluís-Miquel Munguía, , & Ahmed, Shabbir, & Bader, David, & Nemhauser, George L., & Shao, Yufen (2018). Alternating criteria search: a parallel large neighborhood search algorithm for mixed integer programs. Computational Optimization and Applications, 69(1), 1--24.
Nathan, Eisha, & Bader, David (2018). Incrementally updating Katz centrality in dynamic graphs. Social Network Analysis and Mining, 8(1), 26.
Nathan, Eisha, & Sanders, Geoffrey, & Van Emden Henson, , & Bader, David (2018). Numerically approximating centrality for graph ranking guarantees. Journal of Computational Science, 26, 205--216.
Lluís-Miquel Munguía, , & Ahmed, Shabbir, & Bader, David, & Nemhauser, George L., & Goel, Vikas, & Shao, Yufen (2017). A parallel local search framework for the Fixed-Charge Multicommodity Network Flow problem. Computers \& Optimization Research, 77, 44--57.
You, Yang, & Fu, Haohuan, & Bader, David, & Yang, Guangwen (2017). Designing and implementing a heuristic cross-architecture combination for graph traversal. Journal of Parallel and Distributed Computing, 108, 95--105.
Bader, David (2017). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 28(12), 3328--3329.
Bader, David (2017). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 28(1), 1.
Yin, Zhaoming, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2017). Exemplar or Matching: Modeling DCJ Problems with Unequal Content Genome Data. CoRR, abs/1705.06559,
Nathan, Eisha, & Sanders, Geoffrey, & Fairbanks, James, & Van Emden Henson, , & Bader, David (2017). Graph Ranking Guarantees for Numerical Approximations to Katz Centrality. Procedia Computer Science, 108, 68--78.
Nathan, Eisha, & Zakrzewska, Anita, & Riedy, E. Jason, & Bader, David (2017). Local Community Detection in Dynamic Graphs Using Personalized Centrality. Algorithms, 10(3), 102--128.
Du, Zhihui, & Ge, Rong, & Lee, Victor W., & Vuduc, Richard W., & Bader, David, & He, Ligang (2017). Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Scientific Programming, 2017, 8686971:1--13.
Fairbanks, James P., & Bader, David, & Sanders, Geoffrey D. (2017). Spectral partitioning with blends of eigenvectors. Journal of Complex Networks, 5(4), 551--580.
Yang, Quan, & Du, Zhihui, & Cao, Zhou-Jian, & Tao, Jian, & Bader, David (2016). A New Parallel Method for Binary Black Hole Simulations. Scientific Programming, 2016, 2360492:1--14.
Bader, David (2016). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 27(1), 1.
Bader, David (2016). Evolving MPI+X Toward Exascale. IEEE Computer, 49(8), 10.
Yin, Zhaoming, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2016). Exemplar or matching: modeling DCJ problems with unequal content genome data. Journal of Combinatorial Optimization, 32(4), 1165--1181.
Dauwe, Daniel, & Jonardi, Eric, & Friese, Ryan, & Pasricha, Sudeep, & Maciejewski, Anthony A., & Bader, David, & Siegel, Howard Jay (2016). HPC node performance and energy modeling with the co-location of applications. Journal of Supercomputing, 72(12), 4771--4809.
Zakrzewska, Anita, & Bader, David (2016). Tracking local communities in streaming graphs with a dynamic algorithm. Social Network Analysis and Mining, 6(1), 65:1--16.
Fairbanks, James P., & Kannan, Ramakrishnan, & Park, Haesun, & Bader, David (2015). Behavioral clusters in dynamic graphs. Parallel Computing, 47, 38--50.
Bader, David (2015). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 26(1), 1.
Kepner, Jeremy, & Bader, David, & Buluç, Aydın, & Gilbert, John, & Mattson, Timothy, & Meyerhenke, Henning (2015). Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. Procedia Computer Science, 51, 2453--2462.
Fairbanks, James P., & Sanders, Geoffrey D., & Bader, David (2015). Spectral Partitioning with Blends of Eigenvectors. CoRR, abs/1510.04658,
Bader, David (2015). State of the Journal. IEEE Transactions on Computers, 64(6), 1506--1508.
Chai, Yunpeng, & Du, Zhihui, & Qin, Xiao, & Bader, David (2015). WEC: Improving Durability of SSD Cache Drives by Caching Write-Efficient Data. IEEE Transactions on Computers, 64(11), 3304--3316.
Bader, David, & Mutzel, Petra (2014). Introduction to Special Issue ALENEX'12. ACM Journal of Experimental Algorithmics, 19(1),
Mattson, Tim, & Bader, David, & Berry, Jonathan W., & Aydin Bulu\cc, , & Dongarra, Jack J., & Faloutsos, Christos, & Feo, John, & Gilbert, John R., & Gonzalez, Joseph, & Hendrickson, Bruce, & Kepner, Jeremy, & Leiserson, Charles E., & Lumsdaine, Andrew, & Padua, David A., & Poole, Stephen W., & Reinhardt, Steven P., & Stonebraker, Mike, & Wallach, Steve, & Yoo, Andrew (2014). Standards for Graph Algorithm Primitives. CoRR, abs/1408.0393, 1--2.
Bader, David (2014). State of the Journal. IEEE Transactions on Parallel and Distributed Systems, 25(1), 1.
McColl, Robert, & Ediger, David, & Poovey, Jason, & Campbell, Dan, & Bader, David (2013). A Brief Study of Open Source Graph Databases. CoRR, abs/1309.2675,
Green, Oded, & Bader, David (2013). Faster Betweenness Centrality Based on Data Structure Experimentation. Procedia Computer Science, 18, 399--408.
Ediger, David, & Jiang, Karl, & Riedy, E. Jason, & Bader, David (2013). GraphCT: Multithreaded Algorithms for Massive Graph Analysis. IEEE Transactions on Parallel \& Distributed Systems, 24(11), 2220--2229.
Riedy, E. Jason, & Bader, David (2013). Massive streaming data analytics: a graph-based approach. ACM Crossroads, 19(3), 37--43.
Liu, Xing, & Pande, Pushkar R., & Meyerhenke, Henning, & Bader, David (2013). PASQUAL: Parallel Techniques for Next Generation Genome Sequence Assembly. IEEE Transactions on Parallel \& Distributed Systems, 24(5), 977--986.
Yin, Zhaoming, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2013). Streaming Breakpoint Graph Analytics for Accelerating and Parallelizing the Computation of DCJ Median of Three Genomes. Procedia Computer Science, 18, 561--570.
Swenson, Shel, & Simmhan, Yogesh, & Prasanna, Viktor K., & Parashar, Manish, & Riedy, E. Jason, & Bader, David, & Vuduc, Richard W. (2013). Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR, abs/1309.1828,
Bader, David, & Tsigas, Philippas (2012). ACM journal on experimental algorithmics special issue on multicore algorithms. ACM Journal of Experimental Algorithmics, 17(1), 1.
Chai, Yunpeng, & Du, Zhihui, & Bader, David, & Qin, Xiao (2012). Efficient Data Migration to Conserve Energy in Streaming Media Storage Systems. IEEE Transactions on Parallel \& Distributed Systems, 23(11), 2081--2093.
Swenson, M. Shel, & Anderson, Joshua, & Ash, Andrew, & Gaurav, Prashant, & Sükösd, Zsuzsanna, & Bader, David, & Harvey, Stephen C., & Heitsch, Christine E. (2012). GTfold: Enabling parallel RNA secondary structure prediction on multi-core desktops. BMC Research Notes, 5, 341--347.
Kang, Seunghwa, & Ediger, David, & Bader, David (2011). Algorithm Engineering Challenges in Multicore and Manycore Systems. it - Information Technology, 53(6), 266--273.
Ye, Yin, & Du, Zhihui, & Bader, David (2011). GPUMemSort: A High Performance Graphic Co-processors Sorting Algorithm for Large Scale In-Memory Data. GSTF International Journal on Computing, 1(2), 23--28.
Bader, David, & Kaeli, David R., & Kindratenko, Volodymyr V. (2011). Guest Editor's Introduction: Special Issue on High-Performance Computing with Accelerators. IEEE Transactions on Parallel and Distributed Systems, 22(1), 3--6.
Chen, Mingyu, & Bader, David (2011). On the random access performance of Cell Broadband Engine with graph analysis application. CoRR, abs/1105.5881,
Kang, Seunghwa, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2011). Rec-DCM-Eigen: Reconstructing a Less Parsimonious but More Accurate Tree in Shorter Time. PLOS ONE, 6(8), 1--12.
Bader, David, & Agarwal, Virat, & Kang, Seunghwa (2009). Computing discrete transforms on the Cell Broadband Engine. Parallel Computing, 35(3), 119--137.
Agarwal, Virat, & Bader, David, & Dan, Lin, & Liu, Lurng-Kuo, & Pasetto, Davide, & Perrone, Michael, & Petrini, Fabrizio (2009). Faster FAST: multicore acceleration of streaming financial data. Computer Science - Research and Development, 23(3-4), 249--257.
Bader, David, & Madduri, Kamesh (2008). A graph-theoretic analysis of the human protein-interaction network using multicore parallel algorithms. Parallel Computing, 34(11), 627--639.
Bader, David, & Aluru, Srinivas (2008). Guest editorial: High-performance computational biology. Parallel Computing, 34(11), 613--615.
Dhakal, Sagar, & Hayat, Majeed M., & Pezoa, Jorge E., & Yang, Cundong, & Bader, David (2007). Dynamic Load Balancing in Distributed Systems in the Presence of Delays: A Regeneration-Theory Approach. IEEE Transactions on Parallel \& Distributed Systems, 18(4), 485--497.
Bader, David, & Agarwal, Virat, & Madduri, Kamesh, & Kang, Seunghwa (2007). High performance combinatorial algorithm design on the Cell Broadband Engine processor. Parallel Computing, 33(10-11), 720--740.
Low, Diana H. P., & Veeravalli, Bharadwaj, & Bader, David (2007). On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures. Journal of Parallel and Distributed Computing, 67(9), 1007--1017.
Bader, David, & Roshan, Usman W., & Stamatakis, Alexandros (2006). Computational Grand Challenges in Assembling the Tree of Life: Problems and Solutions. Advances in Computers, 68, 127--176.
Cong, Guojing, & Bader, David (2006). Designing irregular parallel algorithms with mutual exclusion and lock-free protocols. Journal of Parallel and Distributed Computing, 66(6), 854--866.
Bader, David, & Madduri, K., & Gilbert, J. R., & Shah, V., & Kepner, J., & Meuse, T., & Krishnamurthy, A. (2006). Designing Scalable Synthetic Compact Applications for Benchmarking High Productivity Computing Systems. CTWatch Quarterly, 2(4B), 41--51.
Aluru, Srinivas, & Amato, Nancy M., & Bader, David (2006). Editorial: Special Section on High-Performance Computational Biology. IEEE Transactions on Parallel and Distributed Systems, 17(8), 737--739.
Bader, David, & Cong, Guojing (2006). Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs. Journal of Parallel and Distributed Computing, 66(11), 1366--1378.
Bader, David, & Cong, Guojing (2005). A fast, parallel spanning tree algorithm for symmetric multiprocessors (SMPs). Journal of Parallel and Distributed Computing, 65(9), 994--1006.
Snir, Marc, & Bader, David (2004). A Framework for Measuring Supercomputer Productivity. International Journal of High Performance Computing Applications, 18(4), 417--432.
Bader, David (2004). An improved, randomized algorithm for parallel selection with an experimental study. Journal of Parallel and Distributed Computing, 64(9), 1051--1059.
Bader, David (2004). Computational biology and high-performance computing. Communications of the ACM, 47(11), 34--41.
Bader, David, & Aluru, Srinivas (2004). Special Issue: High Performance Computational Biology. Concurrency and Computation: Practice and Experience, 16(9), 817--821.
Aluru, Srinivas, & Bader, David (2003). Guest Editor's Introduction: Special issue on high-performance computational biology. Journal of Parallel and Distributed Computing, 63(7-8), 671--673.
Moret, Bernard M. E., & Bader, David, & Warnow, Tandy J. (2002). High-Performance Algorithm Engineering for Computational Phylogenetics. The Journal of Supercomputing, 22(1), 99--111.
Sun, Yuzhong, & Lin, Xiaola, & Pan, Yi, & Lau, R. W. H., & Bader, David, & Cheung, P. Y. S. (2002). Generalized block shift network for clusters. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 49(4), 543--546.
Bader, David, & Moret, Bernard M. E., & Yan, Mi (2001). A Linear-Time Algorithm for Computing Inversion Distance Between Two Signed Permutations with an Experimental Study. Journal of Computational Biology, 8(5), 483--491.
Bader, David, & Pennington, Rob (2001). Applications. IJHPCA, 15(2), 181--185.
Bader, David, & Pennington, Robert (2001). Cluster Computing: Applications. The International Journal of High Performance Computing Applications, 15(2), 181--186.
Kalluri, Satya, & JaJa, Joseph, & Bader, David, & Townshend, John, & Jájá, Joseph, & Fallahadl, Hassan, & Zhang, Zengyan, & Fallah-adl, Hassan (2000). High performance computing algorithms for land cover dynamics using remote sensing data. International Journal of Remote Sensing, 21(6-7), 1513--1536.
Zhang, Zengyan, & JaJa, Joseph F., & Bader, David, & Kalluri, Satya N. V., & Song, Huiping, & El Saleous, Nazmi, & Vermote, Eric, & Townshend, John R. G. (2000). Kronos: A software system for the processing and retrieval of large-scale AVHRR data sets. PE \& RS - Photogrammetric Engineering and Remote Sensing, 66, 1073--1082.
Bader, David (1999). A New, Architectural Paradigm for High-performance Computing. Scalable Computing: Practice and Experience, 2(2),
Bader, David, & Joseph JaJa, (1999). SIMPLE: A Methodology for Programming High Performance Algorithms on Clusters of Symmetric Multiprocessors (SMPs). Journal of Parallel and Distributed Computing, 58(1), 92--108.
Helman, David R., & Joseph JaJa, , & Bader, David (1998). A New Deterministic Parallel Sorting Algorithm with an Experimental Evaluation. ACM Journal of Experimental Algorithmics, 3(4), 1--24.
Helman, David R., & Bader, David, & Joseph JaJa, (1998). A Randomized Parallel Sorting Algorithm with an Experimental Study. Journal of Parallel and Distributed Computing, 52(1), 1--23.
Bader, David, & Joseph JaJa, , & Harwood, David, & Davis, Larry S. (1996). Parallel algorithms for image enhancement and segmentation by region growing, with an experimental study. The Journal of Supercomputing, 10(2), 141--168.
Bader, David, & Joseph JaJa, (1996). Parallel Algorithms for Image Histogramming and Connected Components with an Experimental Study. Journal of Parallel and Distributed Computing, 35(2), 173--190.
Bader, David, & Helman, David R., & Joseph JaJa, (1996). Practical Parallel Algorithms for Personalized Communication and Integer Sorting. ACM Journal of Experimental Algorithmics, 1(3), 1--42.
Bader, David, & Joseph JaJa, , & Chellappa, Rama (1995). Scalable data parallel algorithms for texture synthesis using Gibbs random fields. IEEE Transactions on Image Processing, 4(10), 1456--1460.
Bader, David (2021). Linux and Supercomputing: How my passion for building COTS systems led to an HPC revolution. IEEE Annals on the History of Computing, 43(3),
Goenawan, Ivan Hendy, & Du, Zhihui, & Wu, Chao, & Sun, Yankui, & Wei, Jianyan, & Bader, David (2021). Dynamics Signature based Anomaly Detection. Software: Practice and Experience, 53(1), 160-175.
Gera, Prasun, & Kim, Hyojong, & Sao, Piyush, & Kim, Hyesoon, & Bader, David (2020). Traversing Large Graphs on GPUs with Unified Memory. Proceedings of the VLDB Endowment, 13(7), 1119-1133.
Bader, David (2019). Editorial from the Editor-in-Chief. ACM Transactions on Parallel Computing TOPC, 6(1), 1--2.
Munguía, Lluís-Miquel, & Ahmed, Shabbir, & Bader, David, & Nemhauser, George L., & Shao, Yufen, & Papageorgiou, Dimitri J. (2019). Tailoring parallel alternating criteria search for domain specific MIPs: Application to maritime inventory routing. Computers & Operations Research, 111, 21 - 34.
McLaughlin, Adam, & Bader, David (2018). Accelerating GPU betweenness centrality. Communications of the ACM, 61(8), 85--92.
Lluís-Miquel Munguía, , & Ahmed, Shabbir, & Bader, David, & Nemhauser, George L., & Shao, Yufen (2018). Alternating criteria search: a parallel large neighborhood search algorithm for mixed integer programs. Computational Optimization and Applications, 69(1), 1--24.
Nathan, Eisha, & Bader, David (2018). Incrementally updating Katz centrality in dynamic graphs. Social Network Analysis and Mining, 8(1), 26.
Nathan, Eisha, & Sanders, Geoffrey, & Van Emden Henson, , & Bader, David (2018). Numerically approximating centrality for graph ranking guarantees. Journal of Computational Science, 26, 205--216.
Lluís-Miquel Munguía, , & Ahmed, Shabbir, & Bader, David, & Nemhauser, George L., & Goel, Vikas, & Shao, Yufen (2017). A parallel local search framework for the Fixed-Charge Multicommodity Network Flow problem. Computers \& Optimization Research, 77, 44--57.
You, Yang, & Fu, Haohuan, & Bader, David, & Yang, Guangwen (2017). Designing and implementing a heuristic cross-architecture combination for graph traversal. Journal of Parallel and Distributed Computing, 108, 95--105.
Bader, David (2017). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 28(12), 3328--3329.
Bader, David (2017). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 28(1), 1.
Yin, Zhaoming, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2017). Exemplar or Matching: Modeling DCJ Problems with Unequal Content Genome Data. CoRR, abs/1705.06559,
Nathan, Eisha, & Sanders, Geoffrey, & Fairbanks, James, & Van Emden Henson, , & Bader, David (2017). Graph Ranking Guarantees for Numerical Approximations to Katz Centrality. Procedia Computer Science, 108, 68--78.
Nathan, Eisha, & Zakrzewska, Anita, & Riedy, E. Jason, & Bader, David (2017). Local Community Detection in Dynamic Graphs Using Personalized Centrality. Algorithms, 10(3), 102--128.
Du, Zhihui, & Ge, Rong, & Lee, Victor W., & Vuduc, Richard W., & Bader, David, & He, Ligang (2017). Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Scientific Programming, 2017, 8686971:1--13.
Fairbanks, James P., & Bader, David, & Sanders, Geoffrey D. (2017). Spectral partitioning with blends of eigenvectors. Journal of Complex Networks, 5(4), 551--580.
Yang, Quan, & Du, Zhihui, & Cao, Zhou-Jian, & Tao, Jian, & Bader, David (2016). A New Parallel Method for Binary Black Hole Simulations. Scientific Programming, 2016, 2360492:1--14.
Bader, David (2016). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 27(1), 1.
Bader, David (2016). Evolving MPI+X Toward Exascale. IEEE Computer, 49(8), 10.
Yin, Zhaoming, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2016). Exemplar or matching: modeling DCJ problems with unequal content genome data. Journal of Combinatorial Optimization, 32(4), 1165--1181.
Dauwe, Daniel, & Jonardi, Eric, & Friese, Ryan, & Pasricha, Sudeep, & Maciejewski, Anthony A., & Bader, David, & Siegel, Howard Jay (2016). HPC node performance and energy modeling with the co-location of applications. Journal of Supercomputing, 72(12), 4771--4809.
Zakrzewska, Anita, & Bader, David (2016). Tracking local communities in streaming graphs with a dynamic algorithm. Social Network Analysis and Mining, 6(1), 65:1--16.
Fairbanks, James P., & Kannan, Ramakrishnan, & Park, Haesun, & Bader, David (2015). Behavioral clusters in dynamic graphs. Parallel Computing, 47, 38--50.
Bader, David (2015). Editor's Note. IEEE Transactions on Parallel and Distributed Systems, 26(1), 1.
Kepner, Jeremy, & Bader, David, & Buluç, Aydın, & Gilbert, John, & Mattson, Timothy, & Meyerhenke, Henning (2015). Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. Procedia Computer Science, 51, 2453--2462.
Fairbanks, James P., & Sanders, Geoffrey D., & Bader, David (2015). Spectral Partitioning with Blends of Eigenvectors. CoRR, abs/1510.04658,
Bader, David (2015). State of the Journal. IEEE Transactions on Computers, 64(6), 1506--1508.
Chai, Yunpeng, & Du, Zhihui, & Qin, Xiao, & Bader, David (2015). WEC: Improving Durability of SSD Cache Drives by Caching Write-Efficient Data. IEEE Transactions on Computers, 64(11), 3304--3316.
Bader, David, & Mutzel, Petra (2014). Introduction to Special Issue ALENEX'12. ACM Journal of Experimental Algorithmics, 19(1),
Mattson, Tim, & Bader, David, & Berry, Jonathan W., & Aydin Bulu\cc, , & Dongarra, Jack J., & Faloutsos, Christos, & Feo, John, & Gilbert, John R., & Gonzalez, Joseph, & Hendrickson, Bruce, & Kepner, Jeremy, & Leiserson, Charles E., & Lumsdaine, Andrew, & Padua, David A., & Poole, Stephen W., & Reinhardt, Steven P., & Stonebraker, Mike, & Wallach, Steve, & Yoo, Andrew (2014). Standards for Graph Algorithm Primitives. CoRR, abs/1408.0393, 1--2.
Bader, David (2014). State of the Journal. IEEE Transactions on Parallel and Distributed Systems, 25(1), 1.
McColl, Robert, & Ediger, David, & Poovey, Jason, & Campbell, Dan, & Bader, David (2013). A Brief Study of Open Source Graph Databases. CoRR, abs/1309.2675,
Green, Oded, & Bader, David (2013). Faster Betweenness Centrality Based on Data Structure Experimentation. Procedia Computer Science, 18, 399--408.
Ediger, David, & Jiang, Karl, & Riedy, E. Jason, & Bader, David (2013). GraphCT: Multithreaded Algorithms for Massive Graph Analysis. IEEE Transactions on Parallel \& Distributed Systems, 24(11), 2220--2229.
Riedy, E. Jason, & Bader, David (2013). Massive streaming data analytics: a graph-based approach. ACM Crossroads, 19(3), 37--43.
Liu, Xing, & Pande, Pushkar R., & Meyerhenke, Henning, & Bader, David (2013). PASQUAL: Parallel Techniques for Next Generation Genome Sequence Assembly. IEEE Transactions on Parallel \& Distributed Systems, 24(5), 977--986.
Yin, Zhaoming, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2013). Streaming Breakpoint Graph Analytics for Accelerating and Parallelizing the Computation of DCJ Median of Three Genomes. Procedia Computer Science, 18, 561--570.
Swenson, Shel, & Simmhan, Yogesh, & Prasanna, Viktor K., & Parashar, Manish, & Riedy, E. Jason, & Bader, David, & Vuduc, Richard W. (2013). Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR, abs/1309.1828,
Bader, David, & Tsigas, Philippas (2012). ACM journal on experimental algorithmics special issue on multicore algorithms. ACM Journal of Experimental Algorithmics, 17(1), 1.
Chai, Yunpeng, & Du, Zhihui, & Bader, David, & Qin, Xiao (2012). Efficient Data Migration to Conserve Energy in Streaming Media Storage Systems. IEEE Transactions on Parallel \& Distributed Systems, 23(11), 2081--2093.
Swenson, M. Shel, & Anderson, Joshua, & Ash, Andrew, & Gaurav, Prashant, & Sükösd, Zsuzsanna, & Bader, David, & Harvey, Stephen C., & Heitsch, Christine E. (2012). GTfold: Enabling parallel RNA secondary structure prediction on multi-core desktops. BMC Research Notes, 5, 341--347.
Kang, Seunghwa, & Ediger, David, & Bader, David (2011). Algorithm Engineering Challenges in Multicore and Manycore Systems. it - Information Technology, 53(6), 266--273.
Ye, Yin, & Du, Zhihui, & Bader, David (2011). GPUMemSort: A High Performance Graphic Co-processors Sorting Algorithm for Large Scale In-Memory Data. GSTF International Journal on Computing, 1(2), 23--28.
Bader, David, & Kaeli, David R., & Kindratenko, Volodymyr V. (2011). Guest Editor's Introduction: Special Issue on High-Performance Computing with Accelerators. IEEE Transactions on Parallel and Distributed Systems, 22(1), 3--6.
Chen, Mingyu, & Bader, David (2011). On the random access performance of Cell Broadband Engine with graph analysis application. CoRR, abs/1105.5881,
Kang, Seunghwa, & Tang, Jijun, & Schaeffer, Stephen W., & Bader, David (2011). Rec-DCM-Eigen: Reconstructing a Less Parsimonious but More Accurate Tree in Shorter Time. PLOS ONE, 6(8), 1--12.
Bader, David, & Agarwal, Virat, & Kang, Seunghwa (2009). Computing discrete transforms on the Cell Broadband Engine. Parallel Computing, 35(3), 119--137.
Agarwal, Virat, & Bader, David, & Dan, Lin, & Liu, Lurng-Kuo, & Pasetto, Davide, & Perrone, Michael, & Petrini, Fabrizio (2009). Faster FAST: multicore acceleration of streaming financial data. Computer Science - Research and Development, 23(3-4), 249--257.
Bader, David, & Madduri, Kamesh (2008). A graph-theoretic analysis of the human protein-interaction network using multicore parallel algorithms. Parallel Computing, 34(11), 627--639.
Bader, David, & Aluru, Srinivas (2008). Guest editorial: High-performance computational biology. Parallel Computing, 34(11), 613--615.
Dhakal, Sagar, & Hayat, Majeed M., & Pezoa, Jorge E., & Yang, Cundong, & Bader, David (2007). Dynamic Load Balancing in Distributed Systems in the Presence of Delays: A Regeneration-Theory Approach. IEEE Transactions on Parallel \& Distributed Systems, 18(4), 485--497.
Bader, David, & Agarwal, Virat, & Madduri, Kamesh, & Kang, Seunghwa (2007). High performance combinatorial algorithm design on the Cell Broadband Engine processor. Parallel Computing, 33(10-11), 720--740.
Low, Diana H. P., & Veeravalli, Bharadwaj, & Bader, David (2007). On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures. Journal of Parallel and Distributed Computing, 67(9), 1007--1017.
Bader, David, & Roshan, Usman W., & Stamatakis, Alexandros (2006). Computational Grand Challenges in Assembling the Tree of Life: Problems and Solutions. Advances in Computers, 68, 127--176.
Cong, Guojing, & Bader, David (2006). Designing irregular parallel algorithms with mutual exclusion and lock-free protocols. Journal of Parallel and Distributed Computing, 66(6), 854--866.
Bader, David, & Madduri, K., & Gilbert, J. R., & Shah, V., & Kepner, J., & Meuse, T., & Krishnamurthy, A. (2006). Designing Scalable Synthetic Compact Applications for Benchmarking High Productivity Computing Systems. CTWatch Quarterly, 2(4B), 41--51.
Aluru, Srinivas, & Amato, Nancy M., & Bader, David (2006). Editorial: Special Section on High-Performance Computational Biology. IEEE Transactions on Parallel and Distributed Systems, 17(8), 737--739.
Bader, David, & Cong, Guojing (2006). Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs. Journal of Parallel and Distributed Computing, 66(11), 1366--1378.
Bader, David, & Cong, Guojing (2005). A fast, parallel spanning tree algorithm for symmetric multiprocessors (SMPs). Journal of Parallel and Distributed Computing, 65(9), 994--1006.
Snir, Marc, & Bader, David (2004). A Framework for Measuring Supercomputer Productivity. International Journal of High Performance Computing Applications, 18(4), 417--432.
Bader, David (2004). An improved, randomized algorithm for parallel selection with an experimental study. Journal of Parallel and Distributed Computing, 64(9), 1051--1059.
Bader, David (2004). Computational biology and high-performance computing. Communications of the ACM, 47(11), 34--41.
Bader, David, & Aluru, Srinivas (2004). Special Issue: High Performance Computational Biology. Concurrency and Computation: Practice and Experience, 16(9), 817--821.
Aluru, Srinivas, & Bader, David (2003). Guest Editor's Introduction: Special issue on high-performance computational biology. Journal of Parallel and Distributed Computing, 63(7-8), 671--673.
Moret, Bernard M. E., & Bader, David, & Warnow, Tandy J. (2002). High-Performance Algorithm Engineering for Computational Phylogenetics. The Journal of Supercomputing, 22(1), 99--111.
Sun, Yuzhong, & Lin, Xiaola, & Pan, Yi, & Lau, R. W. H., & Bader, David, & Cheung, P. Y. S. (2002). Generalized block shift network for clusters. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 49(4), 543--546.
Bader, David, & Moret, Bernard M. E., & Yan, Mi (2001). A Linear-Time Algorithm for Computing Inversion Distance Between Two Signed Permutations with an Experimental Study. Journal of Computational Biology, 8(5), 483--491.
Bader, David, & Pennington, Rob (2001). Applications. IJHPCA, 15(2), 181--185.
Bader, David, & Pennington, Robert (2001). Cluster Computing: Applications. The International Journal of High Performance Computing Applications, 15(2), 181--186.
Kalluri, Satya, & JaJa, Joseph, & Bader, David, & Townshend, John, & Jájá, Joseph, & Fallahadl, Hassan, & Zhang, Zengyan, & Fallah-adl, Hassan (2000). High performance computing algorithms for land cover dynamics using remote sensing data. International Journal of Remote Sensing, 21(6-7), 1513--1536.
Zhang, Zengyan, & JaJa, Joseph F., & Bader, David, & Kalluri, Satya N. V., & Song, Huiping, & El Saleous, Nazmi, & Vermote, Eric, & Townshend, John R. G. (2000). Kronos: A software system for the processing and retrieval of large-scale AVHRR data sets. PE \& RS - Photogrammetric Engineering and Remote Sensing, 66, 1073--1082.
Bader, David (1999). A New, Architectural Paradigm for High-performance Computing. Scalable Computing: Practice and Experience, 2(2),
Bader, David, & Joseph JaJa, (1999). SIMPLE: A Methodology for Programming High Performance Algorithms on Clusters of Symmetric Multiprocessors (SMPs). Journal of Parallel and Distributed Computing, 58(1), 92--108.
Helman, David R., & Joseph JaJa, , & Bader, David (1998). A New Deterministic Parallel Sorting Algorithm with an Experimental Evaluation. ACM Journal of Experimental Algorithmics, 3(4), 1--24.
Helman, David R., & Bader, David, & Joseph JaJa, (1998). A Randomized Parallel Sorting Algorithm with an Experimental Study. Journal of Parallel and Distributed Computing, 52(1), 1--23.
Bader, David, & Joseph JaJa, , & Harwood, David, & Davis, Larry S. (1996). Parallel algorithms for image enhancement and segmentation by region growing, with an experimental study. The Journal of Supercomputing, 10(2), 141--168.
Bader, David, & Joseph JaJa, (1996). Parallel Algorithms for Image Histogramming and Connected Components with an Experimental Study. Journal of Parallel and Distributed Computing, 35(2), 173--190.
Bader, David, & Helman, David R., & Joseph JaJa, (1996). Practical Parallel Algorithms for Personalized Communication and Integer Sorting. ACM Journal of Experimental Algorithmics, 1(3), 1--42.
Bader, David, & Joseph JaJa, , & Chellappa, Rama (1995). Scalable data parallel algorithms for texture synthesis using Gibbs random fields. IEEE Transactions on Image Processing, 4(10), 1456--1460.
COLLAPSE
Academic Blog Posts
GraphBLAS and GraphChallenge Advance Network Frontiers
SIAM News, October (4th Quarter/Autumn) 2022
SIAM News, October (4th Quarter/Autumn) 2022
Chapter
Du, Zhihui, & Rodriguez, Oliver Alvarado, & Patchett, Joseph, & Bader, David (2022). Interactive Graph Analytics at Scale in Arkouda, David A. Bader (Ed.), Chapman & Hall / CRC Press. (pp. 549--589). Chapman & Hall / CRC Press
Bader, David, & Madduri, Kamesh (2019). High-Performance Phylogenetic Inference, Warnow, Tandy (Eds.), Springer International Publishing. (pp. 39--45). Cham: Springer International Publishing
Bader, David, & Kappes, Andrea, & Meyerhenke, Henning, & Sanders, Peter, & Schulz, Christian, & Wagner, Dorothea (2018). Benchmarking for Graph Clustering and Partitioning, Alhajj, Reda; Rokne, Jon (Eds.), Springer. New York: Springer
Bader, David (2016). Engineering Algorithms for Computational Biology, Kao, Ming-Yang (Eds.), Springer. (pp. 628--630). New York: Springer
Bader, David (2016). High Performance Algorithm Engineering for Large-Scale Problems, Kao, Ming-Yang (Eds.), Springer. (pp. 914--918). Berlin: Springer
Bader, David, & Madduri, Kamesh (2019). High-Performance Phylogenetic Inference, Warnow, Tandy (Eds.), Springer International Publishing. (pp. 39--45). Cham: Springer International Publishing
Bader, David, & Kappes, Andrea, & Meyerhenke, Henning, & Sanders, Peter, & Schulz, Christian, & Wagner, Dorothea (2018). Benchmarking for Graph Clustering and Partitioning, Alhajj, Reda; Rokne, Jon (Eds.), Springer. New York: Springer
Bader, David (2016). Engineering Algorithms for Computational Biology, Kao, Ming-Yang (Eds.), Springer. (pp. 628--630). New York: Springer
Bader, David (2016). High Performance Algorithm Engineering for Large-Scale Problems, Kao, Ming-Yang (Eds.), Springer. (pp. 914--918). Berlin: Springer
SHOW MORE
Bader, David (2016). Sorting Signed Permutations by Reversal (Reversal Distance), Kao, Ming-Yang (Eds.), Springer. (pp. 2026--2028). New York: Springer
Bader, David, & Meyerhenke, Henning, & Sanders, Peter, & Schulz, Christian, & Kappes, Andrea, & Wagner, Dorothea (2014). Benchmarking for Graph Clustering and Partitioning, Alhajj, Reda; Rokne, Jon (Eds.), Springer. (pp. 73--82). New York: Springer
Kang, Seunghwa, & Arora, Nitin, & Shringarpure, Aashay, & Vuduc, Richard W., & Bader, David (2013). Evaluating Multicore Processors and Accelerators for Dense Numerical Computations, Rajasekaran, Sanguthevar; Fiondella, Lance; Ahmed, Mohamed; Ammar, Reda A. (Eds.), Chapman \& Hall. (pp. 241--280). New York: Chapman \& Hall
Riedy, E. Jason, & Meyerhenke, Henning, & Ediger, David, & Bader, David (2013). Parallel Community Detection for Massive Graphs, Bader, David A.; Meyerhenke, Henning; Sanders, Peter; Wagner, Dorothea (Eds.), American Mathematical Society. (pp. 207--222). Providence, RI: American Mathematical Society
Riedy, E. Jason, & Meyerhenke, Henning, & Ediger, David, & Bader, David (2013). Parallel community detection for massive graphs, Bader, David A.; Meyerhenke, Henning; Sanders, Peter; Wagner, Dorothea (Eds.), AMC. (pp. 207--222). Providence, RI: AMC
Bader, David, & Madduri, Kamesh (2012). Computational Challenges in Emerging Combinatorial Scientific Computing Applications, Naumann, Uwe; Schenk, Olaf (Eds.), Chapman \& Hall. (pp. 471--494). New York: Chapman \& Hall
Kepner, Jeremy, & Bader, David, & Bond, Robert, & Bliss, Nadya, & Faloutsos, Christos, & Hendrickson, Bruce, & Gilbert, John, & Robinson, Eric (2011). Fundamental Questions in the Analysis of Large Graphs, Kepner, Jeremy; Gilbert, John R. (Eds.), SIAM. (pp. 353--357). Philadelphia, PA: SIAM
Bader, David, & Cong, Guojing (2011). Graph Algorithms, Padua, David (Eds.), Springer. (pp. 796--805). Boston, MA: Springer
Cong, Guojing, & Bader, David (2011). Hybrid Programming With SIMPLE, Padua, David (Eds.), Springer. (pp. 851--860). Boston, MA: Springer
Bader, David, & Heitsch, Christine, & Madduri, Kamesh (2011). Large-Scale Network Analysis, Kepner, Jeremy; Gilbert, John R. (Eds.), SIAM. (pp. 253--285). Philadelphia, PA: SIAM
Bader, David, & Cong, Guojing (2011). Spanning Tree, Minimum Weight, Padua, David (Eds.), Springer. (pp. 1870--1877). Boston, MA: Springer
Bader, David, & Cong, Guojing (2011). SWARM: A Parallel Programming Framework for Multicore Processors, Padua, David (Eds.), Springer. (pp. 1966--1971). Boston, MA: Springer
Bader, David, & Agarwal, Virat, & Madduri, Kamesh, & Petrini, Fabrizio (2010). Combinatorial Algorithm Design on the Cell/B.E. Processor, Kurzak, Jakub; Bader, David A.; Dongarra, Jack (Eds.), CRC Press. (pp. 195--216). Boca Raton: CRC Press
Agarwal, Virat, & Bader, David (2010). Designing Fast Fourier Transform for the IBM Cell Broadband Engine, Kurzak, Jakub; Bader, David A.; Dongarra, Jack (Eds.), CRC Press. (pp. 151--170). Boca Raton: CRC Press
Agarwal, Virat, & Duan, Lin, & Liu, Lurng-Kuo, & Perrone, Michael, & Petrini, Fabrizio, & Pasetto, Davide, & Bader, David (2010). The Case of the Fast Financial Feed, Gavrilovska, Ada (Eds.), Chapman \& Hall. (pp. 305--328). New York: Chapman \& Hall
Bader, David (2008). Engineering Algorithms for Computational Biology, Kao, Ming-Yang (Eds.), Springer. Boston, MA: Springer
Bader, David (2008). High Performance Algorithm Engineering for Large-scale Problems, Kao, Ming-Yang (Eds.), Springer. (pp. 914--918). Berlin: Springer
Bader, David (2008). Sorting Signed Permutations by Reversal (Reversal Distance), Kao, Ming-Yang (Eds.), Springer. Boston, MA: Springer
Bader, David, & Madduri, Kamesh, & Cong, Guojing, & Feo, John (2007). Design of Multithreaded Algorithms for Combinatorial Problems, Rajasekaran, Sanguthevar; Reif, John (Eds.), Chapman and Hall. (pp. 1--30). New York: Chapman and Hall
Bader, David, & Cong, Guojing (2007). Efficient Parallel Graph Algorithms for Shared-memory Multiprocessors, Rajasekaran, Sanguthevar; Reif, John (Eds.), Chapman and Hall. (pp. 1--40). New York: Chapman and Hall
Madduri, Kamesh, & c, , & Berry, Jonathan W., & Crobak, Joseph R. (2007). Multithreaded Algorithms for Processing Massive Graphs, Bader, David A. (Eds.), Chapman \& Hall. (pp. 1--26). New York: Chapman \& Hall
Aluru, Srinivas, & Amato, Nancy, & Bader, David, & Bhandarkar, Suchindra, & Kale, Laxmikant, & Marinescu, Dan C. (2006). Parallel Computational Biology, Heroux, Michael A.; Raghavan, Padma; Simon, Horst D. (Eds.), SIAM. (pp. 357--378). Philadelphia, PA: SIAM
Bader, David, & Yan, Mi (2005). High-Performance Algorithms for Phylogeny Reconstruction with Maximum Parsimony, Aluru, Srinivas (Eds.), Chapman \& Hall. (pp. 1--19). New York: Chapman \& Hall
Williams, Tiffani L., & Bader, David, & Moret, Bernard M. E., & Yan, Mi (2005). High-Performance Phylogeny Reconstruction Under Maximum Parsimony, Zomaya, Albert Y. (Eds.), John Wiley \& Sons. (pp. 369--394). Hoboken, NJ: John Wiley \& Sons
Bader, David, & Hart, William E., & Phillips, Cynthia A. (2005). Parallel Algorithm Design for Branch and Bound, Greenberg, H. J. (Eds.), Springer. (pp. 1--44). New York: Springer
Bader, David, & Moret, Bernard M. E., & Sanders, Peter (2002). Algorithm Engineering for Parallel Computation, Fleischer, Rudolf; Moret, Bernard; Schmidt, Erik Meineche (Eds.), Springer. (pp. 1--23). Berlin: Springer
Bader, David, & Meyerhenke, Henning, & Sanders, Peter, & Schulz, Christian, & Kappes, Andrea, & Wagner, Dorothea (2014). Benchmarking for Graph Clustering and Partitioning, Alhajj, Reda; Rokne, Jon (Eds.), Springer. (pp. 73--82). New York: Springer
Kang, Seunghwa, & Arora, Nitin, & Shringarpure, Aashay, & Vuduc, Richard W., & Bader, David (2013). Evaluating Multicore Processors and Accelerators for Dense Numerical Computations, Rajasekaran, Sanguthevar; Fiondella, Lance; Ahmed, Mohamed; Ammar, Reda A. (Eds.), Chapman \& Hall. (pp. 241--280). New York: Chapman \& Hall
Riedy, E. Jason, & Meyerhenke, Henning, & Ediger, David, & Bader, David (2013). Parallel Community Detection for Massive Graphs, Bader, David A.; Meyerhenke, Henning; Sanders, Peter; Wagner, Dorothea (Eds.), American Mathematical Society. (pp. 207--222). Providence, RI: American Mathematical Society
Riedy, E. Jason, & Meyerhenke, Henning, & Ediger, David, & Bader, David (2013). Parallel community detection for massive graphs, Bader, David A.; Meyerhenke, Henning; Sanders, Peter; Wagner, Dorothea (Eds.), AMC. (pp. 207--222). Providence, RI: AMC
Bader, David, & Madduri, Kamesh (2012). Computational Challenges in Emerging Combinatorial Scientific Computing Applications, Naumann, Uwe; Schenk, Olaf (Eds.), Chapman \& Hall. (pp. 471--494). New York: Chapman \& Hall
Kepner, Jeremy, & Bader, David, & Bond, Robert, & Bliss, Nadya, & Faloutsos, Christos, & Hendrickson, Bruce, & Gilbert, John, & Robinson, Eric (2011). Fundamental Questions in the Analysis of Large Graphs, Kepner, Jeremy; Gilbert, John R. (Eds.), SIAM. (pp. 353--357). Philadelphia, PA: SIAM
Bader, David, & Cong, Guojing (2011). Graph Algorithms, Padua, David (Eds.), Springer. (pp. 796--805). Boston, MA: Springer
Cong, Guojing, & Bader, David (2011). Hybrid Programming With SIMPLE, Padua, David (Eds.), Springer. (pp. 851--860). Boston, MA: Springer
Bader, David, & Heitsch, Christine, & Madduri, Kamesh (2011). Large-Scale Network Analysis, Kepner, Jeremy; Gilbert, John R. (Eds.), SIAM. (pp. 253--285). Philadelphia, PA: SIAM
Bader, David, & Cong, Guojing (2011). Spanning Tree, Minimum Weight, Padua, David (Eds.), Springer. (pp. 1870--1877). Boston, MA: Springer
Bader, David, & Cong, Guojing (2011). SWARM: A Parallel Programming Framework for Multicore Processors, Padua, David (Eds.), Springer. (pp. 1966--1971). Boston, MA: Springer
Bader, David, & Agarwal, Virat, & Madduri, Kamesh, & Petrini, Fabrizio (2010). Combinatorial Algorithm Design on the Cell/B.E. Processor, Kurzak, Jakub; Bader, David A.; Dongarra, Jack (Eds.), CRC Press. (pp. 195--216). Boca Raton: CRC Press
Agarwal, Virat, & Bader, David (2010). Designing Fast Fourier Transform for the IBM Cell Broadband Engine, Kurzak, Jakub; Bader, David A.; Dongarra, Jack (Eds.), CRC Press. (pp. 151--170). Boca Raton: CRC Press
Agarwal, Virat, & Duan, Lin, & Liu, Lurng-Kuo, & Perrone, Michael, & Petrini, Fabrizio, & Pasetto, Davide, & Bader, David (2010). The Case of the Fast Financial Feed, Gavrilovska, Ada (Eds.), Chapman \& Hall. (pp. 305--328). New York: Chapman \& Hall
Bader, David (2008). Engineering Algorithms for Computational Biology, Kao, Ming-Yang (Eds.), Springer. Boston, MA: Springer
Bader, David (2008). High Performance Algorithm Engineering for Large-scale Problems, Kao, Ming-Yang (Eds.), Springer. (pp. 914--918). Berlin: Springer
Bader, David (2008). Sorting Signed Permutations by Reversal (Reversal Distance), Kao, Ming-Yang (Eds.), Springer. Boston, MA: Springer
Bader, David, & Madduri, Kamesh, & Cong, Guojing, & Feo, John (2007). Design of Multithreaded Algorithms for Combinatorial Problems, Rajasekaran, Sanguthevar; Reif, John (Eds.), Chapman and Hall. (pp. 1--30). New York: Chapman and Hall
Bader, David, & Cong, Guojing (2007). Efficient Parallel Graph Algorithms for Shared-memory Multiprocessors, Rajasekaran, Sanguthevar; Reif, John (Eds.), Chapman and Hall. (pp. 1--40). New York: Chapman and Hall
Madduri, Kamesh, & c, , & Berry, Jonathan W., & Crobak, Joseph R. (2007). Multithreaded Algorithms for Processing Massive Graphs, Bader, David A. (Eds.), Chapman \& Hall. (pp. 1--26). New York: Chapman \& Hall
Aluru, Srinivas, & Amato, Nancy, & Bader, David, & Bhandarkar, Suchindra, & Kale, Laxmikant, & Marinescu, Dan C. (2006). Parallel Computational Biology, Heroux, Michael A.; Raghavan, Padma; Simon, Horst D. (Eds.), SIAM. (pp. 357--378). Philadelphia, PA: SIAM
Bader, David, & Yan, Mi (2005). High-Performance Algorithms for Phylogeny Reconstruction with Maximum Parsimony, Aluru, Srinivas (Eds.), Chapman \& Hall. (pp. 1--19). New York: Chapman \& Hall
Williams, Tiffani L., & Bader, David, & Moret, Bernard M. E., & Yan, Mi (2005). High-Performance Phylogeny Reconstruction Under Maximum Parsimony, Zomaya, Albert Y. (Eds.), John Wiley \& Sons. (pp. 369--394). Hoboken, NJ: John Wiley \& Sons
Bader, David, & Hart, William E., & Phillips, Cynthia A. (2005). Parallel Algorithm Design for Branch and Bound, Greenberg, H. J. (Eds.), Springer. (pp. 1--44). New York: Springer
Bader, David, & Moret, Bernard M. E., & Sanders, Peter (2002). Algorithm Engineering for Parallel Computation, Fleischer, Rudolf; Moret, Bernard; Schmidt, Erik Meineche (Eds.), Springer. (pp. 1--23). Berlin: Springer
COLLAPSE
Book
Bader, David (2022). Massive Graph Analytics. CRC Press / Chapman and Hall
Conference Proceeding
Anti-Section Transitive Closure
IEEE, December 2021
A GraphBLAS implementation of Triangle Centrality
IEEE, September 2021
Enabling Exploratory Large Scale Graph Analytics through Arkouda
IEEE, September 2021
K-Truss Implementation in Arkouda (Extended Abstract)
IEEE, September 2021
Large Scale String Analytics In Arkouda
IEEE, September 2021
IEEE, December 2021
A GraphBLAS implementation of Triangle Centrality
IEEE, September 2021
Enabling Exploratory Large Scale Graph Analytics through Arkouda
IEEE, September 2021
K-Truss Implementation in Arkouda (Extended Abstract)
IEEE, September 2021
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GPU Accelerated Anomaly Detection of Large Scale Light Curves
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Using RAPIDS AI to Accelerate Graph Data Science Workflows
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Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS
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Performance Impact of Memory Channels on Sparse and Irregular Algorithms
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Skip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems
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A New Algorithm Model for Massive-Scale Streaming Graph Analysis
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Fast and Adaptive List Intersections on the GPU
IEEE Computer Society, 2018
Hornet: An Efficient Data Structure for Dynamic Sparse Graphs and Matrices on GPUs
IEEE Computer Society, 2018
Introduction to HiCOMB 2018
IEEE Computer Society, 2018
Logarithmic Radix Binning and Vectorized Triangle Counting
IEEE Computer Society, 2018
Massive-scale Streaming Analytics: Models, Parallelism, & Real-world Applications
ACM, 2018
Ranking in Dynamic Graphs Using Exponential Centrality
Springer, 2018
Scalable Katz Ranking Computation in Large Static and Dynamic Graphs
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2018
A New Algorithmic Model for Graph Analysis of Streaming Data
August 2018
A Dynamic Algorithm for Updating Katz Centrality in Graphs
ACM, 2017
Approximating Personalized Katz Centrality in Dynamic Graphs
Springer, 2017
Design and implementation of parallel PageRank on multicore platforms
IEEE Computer Society, 2017
Exact and Parallel Triangle Counting in Dynamic Graphs
IEEE Computer Society, 2017
Introduction to EMBRACE Workshop
IEEE Computer Society, 2017
Proceedings of the Sixteenth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2017), Orlando, FL, May 2017.
IEEE Computer Society Press, 2017
Quickly finding a truss in a haystack
IEEE Computer Society, 2017
Streaming Graph Sampling with Size Restrictions
ACM, 2017
When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers
IEEE Computer Society, 2017
A local measure of community change in dynamic graphs
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A Memory and Time Scalable Parallelization of the Reptile Error-Correction Code
IEEE Computer Society, 2016
Aging data in dynamic graphs: A comparative study
IEEE Computer Society, 2016
cuSTINGER: Supporting dynamic graph algorithms for GPUs
IEEE Computer Society, 2016
GABB 2016 Keynote
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HiCOMB Introduction and Committees
IEEE Computer Society, 2016
Mathematical foundations of the GraphBLAS
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New stopping criteria for spectral partitioning
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A Dynamic Algorithm for Local Community Detection in Graphs
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A fast, energy-efficient abstraction for simultaneous breadth-first searches
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A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing
IEEE Computer Society, 2015
Fast Execution of Simultaneous Breadth-First Searches on Sparse Graphs
IEEE Computer Society, 2015
Fast Incremental Community Detection on Dynamic Graphs
Springer, 2015
HiCOMB Introduction and Committees
IEEE Computer Society, 2015
Parallel Methods for Verifying the Consistency of Weakly-Ordered Architectures
IEEE Computer Society, 2015
ParLearning Keynotes
IEEE Computer Society, 2015
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HiCOMB Introduction and Committees
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Load balanced clustering coefficients
ACM, 2014
Optimizing energy consumption and parallel performance for static and dynamic betweenness centrality using GPUs
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Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics
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Scalable and High Performance Betweenness Centrality on the GPU
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A new parallel algorithm for connected components in dynamic graphs
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A statistical framework for streaming graph analysis
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Designing Hybrid Architectures for Massive-Scale Graph Analysis
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Energy-Efficient Scheduling for Best-Effort Interactive Services to Achieve High Response Quality
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A Fast Algorithm for Streaming Betweenness Centrality
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Enhancing Cache Coherent Architectures with access patterns for embedded manycore systems
IEEE Computer Society, 2012
GPU Merge Path: A GPU Merging Algorithm
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HCW 2012 Keynote Talk: Analyzing massive data using heterogeneous computing
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HiCOMB Introduction
IEEE Computer Society, 2012
Proceedings of the 14th Meeting on Algorithm Engineering \& Experiments, ALENEX 2012, The Westin Miyako, Kyoto, Japan, January 16, 2012
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STINGER: High performance data structure for streaming graphs
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Task-based parallel breadth-first search in heterogeneous environments
IEEE Computer Society, 2012
A Waterfall Model to Achieve Energy Efficient Tasks Mapping for Large Scale GPU Clusters
IEEE Computer Society, 2011
HiCOMB Introduction
IEEE Computer Society, 2011
Parallel Community Detection for Massive Graphs
Springer, 2011
Semantic Databases and Supercomputers
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IEEE Computer Society, 2011
Analyzing Massive Social Networks Using Multicore and Multithreaded Architectures
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Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
IEEE Computer Society, 2010
Massive Social Network Analysis: Mining Twitter for Social Good
IEEE Computer Society, 2010
Massive streaming data analytics: A case study with clustering coefficients
IEEE Computer Society, 2010
Message from general chair
IEEE Computer Society, 2010
On accelerating iterative algorithms with CUDA: A case study on Conditional Random Fields training algorithm for biological sequence alignment
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IEEE Computer Society, 2010
A faster parallel algorithm and efficient multithreaded implementations for evaluating betweenness centrality on massive datasets
IEEE Computer Society, 2009
A Partition-Merge Based Cache-Conscious Parallel Sorting Algorithm for CMP with Shared Cache
IEEE Computer Society, 2009
An efficient transactional memory algorithm for computing minimum spanning forest of sparse graphs
ACM, 2009
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
IEEE Computer Society, 2009
Faster FAST: Multicore Acceleration of Streaming Financial Data
2009
Generalizing k-Betweenness Centrality Using Short Paths and a Parallel Multithreaded Implementation
IEEE Computer Society, 2009
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Proceedings of the Eighth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2009), Rome, Italy, May 2009.
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Springer, 2009
Understanding the design trade-offs among current multicore systems for numerical computations
IEEE Computer Society, 2009
A Prediction Based CMP Cache Migration Policy
IEEE Computer Society, 2008
DOSA: design optimizer for scientific applications
IEEE Computer Society, 2008
Financial modeling on the cell broadband engine
IEEE Computer Society, 2008
High performance MPEG-2 software decoder on the cell broadband engine
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On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis
IEEE Computer Society, 2008
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IEEE Computer Society, 2008
Petascale Computing for Large-Scale Graph Problems
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Proceedings of the Seventh IEEE International Workshop on High Performance Computational Biology (HiCOMB 2008), Miami, FL, April 2008.
IEEE Computer Society Press, 2008
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks
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A Graph-Theoretic Analysis of the Human Protein-Interaction Network Using Multicore Parallel Algorithms
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Advanced Shortest Paths Algorithms on a Massively-Multithreaded Architecture
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IEEE Computer Society, 2007
Proceedings of the Sixth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2007), Long Beach, CA, April 2007.
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Designing Multithreaded Algorithms for Breadth-First Search and st-connectivity on the Cray MTA-2
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IEEE Computer Society, 2006
Parallel Shortest Path Algorithms for Solving Large-Scale Instances
American Mathematical Society, 2006
Performance analysis of parallel programs via message-passing graph traversal
IEEE Computer Society, 2006
Proceedings of the Fifth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2006), Rhodes Island, Greece, April 2006.
IEEE Computer Society Press, 2006
A Cache-Aware Parallel Implementation of the Push-Relabel Network Flow Algorithm and Experimental Evaluation of the Gap Relabeling Heuristic
International Society for Computers and Their Applications, 2005
An Empirical Analysis of Parallel Random Permutation Algorithms on SMPs
International Society for Computers and Their Applications, 2005
An Experimental Study of Parallel Biconnected Components Algorithms on Symmetric Multiprocessors (SMPs)
IEEE Computer Society, 2005
BioPerf: a benchmark suite to evaluate high-performance computer architecture on bioinformatics applications
IEEE Computer Society, 2005
BioSPLASH: A sample workload from bioinformatics and computational biology for optimizing next-generation high-performance computer systems. Poster Session.
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Design and Implementation of the HPCS Graph Analysis Benchmark on Symmetric Multiprocessors
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High Performance Computing - HiPC 2005, 12th International Conference, Goa, India, December 18-21, 2005, Proceedings
Springer, 2005
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Springer, 2005
Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system
IEEE Computer Society, 2005
On the Architectural Requirements for Efficient Execution of Graph Algorithms
IEEEE Computer Society, 2005
Proceedings of the Fourth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2005), Denver, CO, April 2005.
IEEE Computer Society Press, 2005
A Fast, Parallel Spanning Tree Algorithm for Symmetric Multiprocessors (SMPs)
IEEE Computer Society, 2004
A Novel FDTD Application Featuring OpenMP-MPI Hybrid Parallelization
IEEE Computer Society, 2004
A Parallel State Assignment Algorithm for Finite State Machines
Springer, 2004
Fast Shared-Memory Algorithms for Computing the Minimum Spanning Forest of Sparse Graphs
IEEE Computer Society, 2004
High Performance Bioinformatics
Springer, 2004
Lock-Free Parallel Algorithms: An Experimental Study
Springer, 2004
Proceedings of the ISCA 17th International Conference on Parallel and Distributed Computing Systems, September 15-17, 2004, The Canterbury Hotel, San Francisco, California, USA
ISCA, 2004
Proceedings of the Third IEEE International Workshop on High Performance Computational Biology (HiCOMB 2004), Santa Fe, NM, April 2004.
IEEE Computer Society Press, 2004
The Euler Tour Technique and Parallel Rooted Spanning Tree
IEEE Computer Society, 2004
Proceedings of the ISCA 17th International Conference on Parallel and Distributed Computing Systems
ISCA, September 2004
Proceedings of the Second IEEE International Workshop on High Performance Computational Biology (HiCOMB 2003), Nice, France, April 2003
IEEE Computer Society Press, 2003
Broadcast on Clusters of SMPs with Optimal Concurrency
CSREA Press, 2002
Evaluating Arithmetic Expressions Using Tree Contraction: A Fast and Scalable Parallel Implementation for Symmetric Multiprocessors (SMPs)
Springer, 2002
HiCOMB 2002: Workshop Introduction
IEEE Computer Society, 2002
A Linear-Time Algorithm for Computing Inversion Distance between Signed Permutations with an Experimental Study
Springer, 2001
A New Implmentation and Detailed Study of Breakpoint Analysis
WSPC, 2001
High-Performance Algorithm Engineering for Computational Phylogenetics
Springer, 2001
Industrial applications of high-performance computing for phylogeny reconstruction
Chapman and Hall, 2001
Using PRAM Algorithms on a Uniform-Memory-Access Shared-Memory Architecture
Springer, 2001
Variation in vegetation growth rates: Implications for the evolution of semi-arid landscapes
2001
An Improved Randomized Selection Algorithm With an Experimental Study
2000
High-Performance Algorithms and Applications for SMP Clusters
NASA, 2000
Tutorial A: Design and Analysis of High Performance Clusters
IEEE Computer Society, 2000
A hierarchical data archiving and processing system to generate custom tailored products from AVHRR data
IEEE Computer Society, 1999
Design and Analysis of the Alliance/University of New Mexico Roadrunner Linux SMP SuperCluster
IEEE Computer Society, 1999
Parallel Algorithms for Image Enhancement and Segmentation by Region Growing with an Experimental Study
IEEE Computer Society, 1996
Parallel Algorithms for Personalized Communication and Sorting with an Experimental Study (Extended Abstract)
ACM, 1996
Practical Parallel Algorithms for Dynamic Data Redistribution, Median Finding, and Selection
IEEE Computer Society, 1996
Parallel Algorithms for Image Histogramming and Connected Components with an Experimental Study
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June 2021
LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms
IEEE Computer Society, May 2021
QoS-Aware and Fault-Tolerant Replica Placement
Springer, October (4th Quarter/Autumn) 2020
A 2-Approximation Algorithm for QoS-Aware and Fault-Tolerant Replica Placement
IEEE, September 2020
GPU Accelerated Anomaly Detection of Large Scale Light Curves
IEEE, September 2020
Using RAPIDS AI to Accelerate Graph Data Science Workflows
IEEE, September 2020
Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS
ACM, August 2020
Performance Impact of Memory Channels on Sparse and Irregular Algorithms
IEEE/ACM, November 2019
Skip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems
IEEE, September 2019
A New Algorithm Model for Massive-Scale Streaming Graph Analysis
Sociedad Española de Matemática Aplicada, July (3rd Quarter/Summer) 2019
Fast and Adaptive List Intersections on the GPU
IEEE Computer Society, 2018
Hornet: An Efficient Data Structure for Dynamic Sparse Graphs and Matrices on GPUs
IEEE Computer Society, 2018
Introduction to HiCOMB 2018
IEEE Computer Society, 2018
Logarithmic Radix Binning and Vectorized Triangle Counting
IEEE Computer Society, 2018
Massive-scale Streaming Analytics: Models, Parallelism, & Real-world Applications
ACM, 2018
Ranking in Dynamic Graphs Using Exponential Centrality
Springer, 2018
Scalable Katz Ranking Computation in Large Static and Dynamic Graphs
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2018
A New Algorithmic Model for Graph Analysis of Streaming Data
August 2018
A Dynamic Algorithm for Updating Katz Centrality in Graphs
ACM, 2017
Approximating Personalized Katz Centrality in Dynamic Graphs
Springer, 2017
Design and implementation of parallel PageRank on multicore platforms
IEEE Computer Society, 2017
Exact and Parallel Triangle Counting in Dynamic Graphs
IEEE Computer Society, 2017
Introduction to EMBRACE Workshop
IEEE Computer Society, 2017
Proceedings of the Sixteenth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2017), Orlando, FL, May 2017.
IEEE Computer Society Press, 2017
Quickly finding a truss in a haystack
IEEE Computer Society, 2017
Streaming Graph Sampling with Size Restrictions
ACM, 2017
When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers
IEEE Computer Society, 2017
A local measure of community change in dynamic graphs
IEEE Computer Society, 2016
A Memory and Time Scalable Parallelization of the Reptile Error-Correction Code
IEEE Computer Society, 2016
Aging data in dynamic graphs: A comparative study
IEEE Computer Society, 2016
cuSTINGER: Supporting dynamic graph algorithms for GPUs
IEEE Computer Society, 2016
GABB 2016 Keynote
IEEE Computer Society, 2016
HiCOMB Introduction and Committees
IEEE Computer Society, 2016
Mathematical foundations of the GraphBLAS
IEEE Computer Society, 2016
New stopping criteria for spectral partitioning
IEEE Computer Society, 2016
Semantic database applications at the Samtavro Cemetery, Georgia
Archaeopress, 2016
A Dynamic Algorithm for Local Community Detection in Graphs
ACM, 2015
A fast, energy-efficient abstraction for simultaneous breadth-first searches
IEEE Computer Society, 2015
A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing
IEEE Computer Society, 2015
Fast Execution of Simultaneous Breadth-First Searches on Sparse Graphs
IEEE Computer Society, 2015
Fast Incremental Community Detection on Dynamic Graphs
Springer, 2015
HiCOMB Introduction and Committees
IEEE Computer Society, 2015
Parallel Methods for Verifying the Consistency of Weakly-Ordered Architectures
IEEE Computer Society, 2015
ParLearning Keynotes
IEEE Computer Society, 2015
A Lin-Kernighan Heuristic for the DCJ Median Problem of Genomes with Unequal Contents
Springer, 2014
A performance evaluation of open source graph databases
ACM, 2014
Designing a Heuristic Cross-Architecture Combination for Breadth-First Search
IEEE Computer Society, 2014
GABB Introduction
IEEE Computer Society, 2014
HiCOMB Introduction and Committees
IEEE Computer Society, 2014
Load balanced clustering coefficients
ACM, 2014
Optimizing energy consumption and parallel performance for static and dynamic betweenness centrality using GPUs
IEEE Computer Society, 2014
Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics
ACM, 2014
Scalable and High Performance Betweenness Centrality on the GPU
IEEE Computer Society, 2014
A new parallel algorithm for connected components in dynamic graphs
IEEE Computer Society, 2013
A statistical framework for streaming graph analysis
ACM, 2013
Designing Hybrid Architectures for Massive-Scale Graph Analysis
IEEE Computer Society, 2013
Detecting insider threats in a real corporate database of computer usage activity
ACM, 2013
Energy-Efficient Scheduling for Best-Effort Interactive Services to Achieve High Response Quality
IEEE Computer Society, 2013
Faster Clustering Coefficient Using Vertex Covers
IEEE Computer Society, 2013
HiCOMB Introduction
IEEE Computer Society, 2013
Investigating Graph Algorithms in the BSP Model on the Cray XMT
IEEE Computer Society, 2013
Measuring the Sensitivity of Graph Metrics to Missing Data
Springer, 2013
Multithreaded Community Monitoring for Massive Streaming Graph Data
IEEE Computer Society, 2013
Standards for graph algorithm primitives
IEEE Computer Society, 2013
A Fast Algorithm for Streaming Betweenness Centrality
IEEE Computer Society, 2012
Analysis of streaming social networks and graphs on multicore architectures
IEEE Computer Society, 2012
Enhancing Cache Coherent Architectures with access patterns for embedded manycore systems
IEEE Computer Society, 2012
GPU Merge Path: A GPU Merging Algorithm
ACM, 2012
HCW 2012 Keynote Talk: Analyzing massive data using heterogeneous computing
IEEE Computer Society, 2012
HiCOMB Introduction
IEEE Computer Society, 2012
Proceedings of the 14th Meeting on Algorithm Engineering \& Experiments, ALENEX 2012, The Westin Miyako, Kyoto, Japan, January 16, 2012
SIAM, 2012
Scalable Multi-threaded Community Detection in Social Networks
IEEE Computer Society, 2012
STINGER: High performance data structure for streaming graphs
IEEE Computer Society, 2012
Task-based parallel breadth-first search in heterogeneous environments
IEEE Computer Society, 2012
A Waterfall Model to Achieve Energy Efficient Tasks Mapping for Large Scale GPU Clusters
IEEE Computer Society, 2011
HiCOMB Introduction
IEEE Computer Society, 2011
Parallel Community Detection for Massive Graphs
Springer, 2011
Semantic Databases and Supercomputers
2011
Tracking Structure of Streaming Social Networks
IEEE Computer Society, 2011
Analyzing Massive Social Networks Using Multicore and Multithreaded Architectures
Springer, 2010
Evaluating Cell/B.E software cache for ClustalW
2010
GPUMemSort: A High Performance Graphic Co-processors Sorting Algorithm for Large Scale In-Memory Data
2010
HiCOMB 2010: Message from the workshop chairs
IEEE Computer Society, 2010
Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
IEEE Computer Society, 2010
Massive Social Network Analysis: Mining Twitter for Social Good
IEEE Computer Society, 2010
Massive streaming data analytics: A case study with clustering coefficients
IEEE Computer Society, 2010
Message from general chair
IEEE Computer Society, 2010
On accelerating iterative algorithms with CUDA: A case study on Conditional Random Fields training algorithm for biological sequence alignment
IEEE Computer Society, 2010
Scalable Graph Exploration on Multicore Processors
IEEE Computer Society, 2010
A faster parallel algorithm and efficient multithreaded implementations for evaluating betweenness centrality on massive datasets
IEEE Computer Society, 2009
A Partition-Merge Based Cache-Conscious Parallel Sorting Algorithm for CMP with Shared Cache
IEEE Computer Society, 2009
An efficient transactional memory algorithm for computing minimum spanning forest of sparse graphs
ACM, 2009
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
IEEE Computer Society, 2009
Faster FAST: Multicore Acceleration of Streaming Financial Data
2009
Generalizing k-Betweenness Centrality Using Short Paths and a Parallel Multithreaded Implementation
IEEE Computer Society, 2009
GTfold: a scalable multicore code for RNA secondary structure prediction
ACM, 2009
Proceedings of the Eighth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2009), Rome, Italy, May 2009.
IEEE Computer Society Press, 2009
Simulating Individual-Based Models of Epidemics in Hierarchical Networks
Springer, 2009
Understanding the design trade-offs among current multicore systems for numerical computations
IEEE Computer Society, 2009
A Prediction Based CMP Cache Migration Policy
IEEE Computer Society, 2008
DOSA: design optimizer for scientific applications
IEEE Computer Society, 2008
Financial modeling on the cell broadband engine
IEEE Computer Society, 2008
High performance MPEG-2 software decoder on the cell broadband engine
IEEE Computer Society, 2008
On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis
IEEE Computer Society, 2008
Optimizing JPEG2000 Still Image Encoding on the Cell Broadband Engine
IEEE Computer Society, 2008
Petascale Computing for Large-Scale Graph Problems
Springer, 2008
Proceedings of the Seventh IEEE International Workshop on High Performance Computational Biology (HiCOMB 2008), Miami, FL, April 2008.
IEEE Computer Society Press, 2008
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks
IEEE Computer Society, 2008
A Graph-Theoretic Analysis of the Human Protein-Interaction Network Using Multicore Parallel Algorithms
IEEE Computer Society, 2007
Advanced Shortest Paths Algorithms on a Massively-Multithreaded Architecture
IEEE Computer Society, 2007
An Experimental Study of A Parallel Shortest Path Algorithm for Solving Large-Scale Graph Instances
SIAM, 2007
Approximating Betweenness Centrality
Springer, 2007
DOSA: Design Optimizer for Scientific Applications
IEEE Computer Society, 2007
FFTC: Fastest Fourier Transform for the IBM Cell Broadband Engine
Springer, 2007
High-Performance Combinatorial Techniques for Analyzing Massive Dynamic Interaction Networks
2007
On the Design and Analysis of Irregular Algorithms on the Cell Processor: A Case Study of List Ranking
IEEE Computer Society, 2007
Petascale Computing for Large-Scale Graph Problems
Springer, 2007
Petascale Computing for Large-Scale Graph Problems
IEEE Computer Society, 2007
Proceedings of the Sixth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2007), Long Beach, CA, April 2007.
IEEE Computer Society Press, 2007
SWARM: A Parallel Programming Framework for Multicore Processors
IEEE Computer Society, 2007
Symposium Evening Tutorial: High-performance Computing Methods for Computational Genomics
IEEE Computer Society, 2007
Techniques for Designing Efficient Parallel Graph Algorithms for SMPs and Multicore Processors
Springer, 2007
Lecture on Progress toward Petascale Applications in Bioinformatics and Computational Biology
IEEE Computer Society, October (4th Quarter/Autumn) 2007
Designing Multithreaded Algorithms for Breadth-First Search and st-connectivity on the Cray MTA-2
IEEE Computer Society, 2006
Efficient Implementation of Irregular Algorithms on Cell Multi-core Architecture. Poster Session.
2006
ExactMP: An Efficient Parallel Exact Solver for Phylogenetic Tree Reconstruction Using Maximum Parsimony
IEEE Computer Society, 2006
High-performance computing methods for computational genomics
ACM, 2006
Parallel Algorithms for Evaluating Centrality Indices in Real-world Networks
IEEE Computer Society, 2006
Parallel Shortest Path Algorithms for Solving Large-Scale Instances
American Mathematical Society, 2006
Performance analysis of parallel programs via message-passing graph traversal
IEEE Computer Society, 2006
Proceedings of the Fifth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2006), Rhodes Island, Greece, April 2006.
IEEE Computer Society Press, 2006
A Cache-Aware Parallel Implementation of the Push-Relabel Network Flow Algorithm and Experimental Evaluation of the Gap Relabeling Heuristic
International Society for Computers and Their Applications, 2005
An Empirical Analysis of Parallel Random Permutation Algorithms on SMPs
International Society for Computers and Their Applications, 2005
An Experimental Study of Parallel Biconnected Components Algorithms on Symmetric Multiprocessors (SMPs)
IEEE Computer Society, 2005
BioPerf: a benchmark suite to evaluate high-performance computer architecture on bioinformatics applications
IEEE Computer Society, 2005
BioSPLASH: A sample workload from bioinformatics and computational biology for optimizing next-generation high-performance computer systems. Poster Session.
2005
Design and Implementation of the HPCS Graph Analysis Benchmark on Symmetric Multiprocessors
Berlin, 2005
High Performance Computing - HiPC 2005, 12th International Conference, Goa, India, December 18-21, 2005, Proceedings
Springer, 2005
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Springer, 2005
Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system
IEEE Computer Society, 2005
On the Architectural Requirements for Efficient Execution of Graph Algorithms
IEEEE Computer Society, 2005
Proceedings of the Fourth IEEE International Workshop on High Performance Computational Biology (HiCOMB 2005), Denver, CO, April 2005.
IEEE Computer Society Press, 2005
A Fast, Parallel Spanning Tree Algorithm for Symmetric Multiprocessors (SMPs)
IEEE Computer Society, 2004
A Novel FDTD Application Featuring OpenMP-MPI Hybrid Parallelization
IEEE Computer Society, 2004
A Parallel State Assignment Algorithm for Finite State Machines
Springer, 2004
Fast Shared-Memory Algorithms for Computing the Minimum Spanning Forest of Sparse Graphs
IEEE Computer Society, 2004
High Performance Bioinformatics
Springer, 2004
Lock-Free Parallel Algorithms: An Experimental Study
Springer, 2004
Proceedings of the ISCA 17th International Conference on Parallel and Distributed Computing Systems, September 15-17, 2004, The Canterbury Hotel, San Francisco, California, USA
ISCA, 2004
Proceedings of the Third IEEE International Workshop on High Performance Computational Biology (HiCOMB 2004), Santa Fe, NM, April 2004.
IEEE Computer Society Press, 2004
The Euler Tour Technique and Parallel Rooted Spanning Tree
IEEE Computer Society, 2004
Proceedings of the ISCA 17th International Conference on Parallel and Distributed Computing Systems
ISCA, September 2004
Proceedings of the Second IEEE International Workshop on High Performance Computational Biology (HiCOMB 2003), Nice, France, April 2003
IEEE Computer Society Press, 2003
Broadcast on Clusters of SMPs with Optimal Concurrency
CSREA Press, 2002
Evaluating Arithmetic Expressions Using Tree Contraction: A Fast and Scalable Parallel Implementation for Symmetric Multiprocessors (SMPs)
Springer, 2002
HiCOMB 2002: Workshop Introduction
IEEE Computer Society, 2002
A Linear-Time Algorithm for Computing Inversion Distance between Signed Permutations with an Experimental Study
Springer, 2001
A New Implmentation and Detailed Study of Breakpoint Analysis
WSPC, 2001
High-Performance Algorithm Engineering for Computational Phylogenetics
Springer, 2001
Industrial applications of high-performance computing for phylogeny reconstruction
Chapman and Hall, 2001
Using PRAM Algorithms on a Uniform-Memory-Access Shared-Memory Architecture
Springer, 2001
Variation in vegetation growth rates: Implications for the evolution of semi-arid landscapes
2001
An Improved Randomized Selection Algorithm With an Experimental Study
2000
High-Performance Algorithms and Applications for SMP Clusters
NASA, 2000
Tutorial A: Design and Analysis of High Performance Clusters
IEEE Computer Society, 2000
A hierarchical data archiving and processing system to generate custom tailored products from AVHRR data
IEEE Computer Society, 1999
Design and Analysis of the Alliance/University of New Mexico Roadrunner Linux SMP SuperCluster
IEEE Computer Society, 1999
Parallel Algorithms for Image Enhancement and Segmentation by Region Growing with an Experimental Study
IEEE Computer Society, 1996
Parallel Algorithms for Personalized Communication and Sorting with an Experimental Study (Extended Abstract)
ACM, 1996
Practical Parallel Algorithms for Dynamic Data Redistribution, Median Finding, and Selection
IEEE Computer Society, 1996
Parallel Algorithms for Image Histogramming and Connected Components with an Experimental Study
ACM, 1995
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Other
Proceedings of the 20th IEEE International Workshop on High Performance Computational Biology (HiCOMB 2021)
IEEE Computer Society, May 2021
Proceedings of the 19th IEEE International Workshop on High Performance Computational Biology (HiCOMB 2020)
IEEE Computer Society, May 2020
Graph Partitioning and Graph Clustering
American Mathematical Society, 2013
Scientific Computing with Multi-core and Accelerators
Chapman & Hall, 2010
Petascale Computing: Algorithms and Applications
Chapman & Hall, 2007
On the Design and Analysis of Practical Parallel Algorithms for Combinatorial Problems with Applications to Image Processing
The University of Maryland, 1996
IEEE Computer Society, May 2021
Proceedings of the 19th IEEE International Workshop on High Performance Computational Biology (HiCOMB 2020)
IEEE Computer Society, May 2020
Graph Partitioning and Graph Clustering
American Mathematical Society, 2013
Scientific Computing with Multi-core and Accelerators
Chapman & Hall, 2010
Petascale Computing: Algorithms and Applications
Chapman & Hall, 2007
On the Design and Analysis of Practical Parallel Algorithms for Combinatorial Problems with Applications to Image Processing
The University of Maryland, 1996
Professional
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Committee Member, 2020
Northeast Big Data Innovation Hub, Seed Fund Steering Committee
Committee Chair, 2020
ACM Transactions on Parallel Computing
Editor, Journal Editor, 2018
The International Heterogeneity in Computing Workshop (HCW) Steering Committee
Committee Member, 2018
IEEE Computer Society, Technical Consortium on High Performance Computing
Committee Member, 2016
Committee Member, 2020
Northeast Big Data Innovation Hub, Seed Fund Steering Committee
Committee Chair, 2020
ACM Transactions on Parallel Computing
Editor, Journal Editor, 2018
The International Heterogeneity in Computing Workshop (HCW) Steering Committee
Committee Member, 2018
IEEE Computer Society, Technical Consortium on High Performance Computing
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SIAM Meeting on Algorithm Engineering and Experiments (ALENEX) Steering Committee
Committee Member, 2012
The International Supercomputing Conference (ISC), Steering Committee
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The International Symposium on Experimental Algorithms (SEA) Steering Committee
Committee Member, 2005
ACM Journal of Experimental Algorithmics
Editor, Associate Editor, 2003
IEEE International Conference on High Performance Computing (HiPC) Steering Committee
Committee Member, 2002
IEEE International Parallel and Distributed Processing Symposium (IPDPS) Steering Committee
Committee Member, 2002
IEEE Computer Society, Fellows Evaluation Committee
Committee Member, 2021
2021 Data Science Leadership Summit
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The 25th IEEE High Performance Extreme Computing Conference (HPEC)
Committee Member, 2021
IEEE International Parallel and Distributed Processing Symposium (IPDPS), General Co-Chair
Conference-Related, 2021
1st ACM International Conference on AI in Finance
Committee Member, 2020
Committee Member, 2012
The International Supercomputing Conference (ISC), Steering Committee
Committee Member, 2012
The International Symposium on Experimental Algorithms (SEA) Steering Committee
Committee Member, 2005
ACM Journal of Experimental Algorithmics
Editor, Associate Editor, 2003
IEEE International Conference on High Performance Computing (HiPC) Steering Committee
Committee Member, 2002
IEEE International Parallel and Distributed Processing Symposium (IPDPS) Steering Committee
Committee Member, 2002
IEEE Computer Society, Fellows Evaluation Committee
Committee Member, 2021
2021 Data Science Leadership Summit
Committee Member, 2021
The 25th IEEE High Performance Extreme Computing Conference (HPEC)
Committee Member, 2021
IEEE International Parallel and Distributed Processing Symposium (IPDPS), General Co-Chair
Conference-Related, 2021
1st ACM International Conference on AI in Finance
Committee Member, 2020
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