Richard Vuduc

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James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyVerified email at berkeley.edu
Katherine YelickVice Chancellor for Research and EECS Professor, UC Berkeley and Sr. Faculty Scientist, LBNLVerified email at lbl.gov
Jee W. ChoiUniversity of OregonVerified email at uoregon.edu
Aparna ChandramowlishwaranAssociate Professor of Electrical Engineering and Computer Science, University of California IrvineVerified email at uci.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Jiajia LiNorth Carolina State UniversityVerified email at ncsu.edu
Piyush Kumar SaoOak Ridge National LaboratoryVerified email at ornl.gov
Hyesoon KimGeorgia TechVerified email at cc.gatech.edu
Leonid OlikerComputer Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Ioakeim PerrosLead Staff Machine Learning Scientist, HEALTH[at]SCALEVerified email at healthatscale.com
Samuel WilliamsSenior Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Jeffrey YoungResearch Scientist, Georgia Institute of TechnologyVerified email at gatech.edu
Rajesh NishtalaFacebookVerified email at fb.com
Benjamin C. LeeProfessor, University of PennsylvaniaVerified email at seas.upenn.edu
John ShalfDepartment Head for Computer Science, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Qing YiLawrence Livermore National LaboratoryVerified email at llnl.gov
George BirosProfessor, Oden Institute for Computational Engineering and Sciences, The University of Texas atVerified email at acm.org
Jason RiedyPrinciple Member of Technical Staff, AMDVerified email at acm.org
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterVerified email at icl.utk.edu
Casey BattaglinoGeorgia TechVerified email at gatech.edu

Richard Vuduc

Georgia Institute of Technology

Verified email at cc.gatech.edu - Homepage

high performance computing parallel computing


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Optimization of sparse matrix-vector multiplication on emerging multicore platforms S Williams, L Oliker, R Vuduc, J Shalf, K Yelick, J Demmel Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, 1-12, 2007	1064	2007
OSKI: A library of automatically tuned sparse matrix kernels R Vuduc, JW Demmel, KA Yelick Journal of Physics: Conference Series 16 (1), 521, 2005	727	2005
Model-driven autotuning of sparse matrix-vector multiply on GPUs JW Choi, A Singh, RW Vuduc ACM sigplan notices 45 (5), 115-126, 2010	572	2010
Sparsity: Optimization framework for sparse matrix kernels EJ Im, K Yelick, R Vuduc The International Journal of High Performance Computing Applications 18 (1 …, 2004	431	2004
Automatic performance tuning of sparse matrix kernels RW Vuduc University of California, Berkeley, 2003	366	2003
Self-adapting linear algebra algorithms and software J Demmel, J Dongarra, V Eijkhout, E Fuentes, A Petitet, R Vuduc, ... Proceedings of the IEEE 93 (2), 293-312, 2005	278	2005
A performance analysis framework for identifying potential benefits in GPGPU applications J Sim, A Dasgupta, H Kim, R Vuduc Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of …, 2012	271	2012
A massively parallel adaptive fast-multipole method on heterogeneous architectures I Lashuk, A Chandramowlishwaran, H Langston, TA Nguyen, R Sampath, ... Proceedings of the Conference on High Performance Computing Networking …, 2009	255	2009
Fast sparse matrix-vector multiplication by exploiting variable block structure R Vuduc, HJ Moon High Performance Computing and Communications, 807-816, 2005	223	2005
Petascale direct numerical simulation of blood flow on 200k cores and heterogeneous architectures A Rahimian, I Lashuk, S Veerapaneni, A Chandramowlishwaran, ... SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010	220	2010
Falcon: fault localization in concurrent programs S Park, RW Vuduc, MJ Harrold Proceedings of the 32nd ACM/IEEE International Conference on Software …, 2010	212	2010
When prefetching works, when it doesn’t, and why J Lee, H Kim, R Vuduc ACM Transactions on Architecture and Code Optimization (TACO) 9 (1), 1-29, 2012	211	2012
Performance optimizations and bounds for sparse matrix-vector multiply R Vuduc, JW Demmel, KA Yelick, S Kamil, R Nishtala, B Lee SC'02: Proceedings of the 2002 ACM/IEEE Conference on Supercomputing, 26-26, 2002	208	2002
A roofline model of energy JW Choi, D Bedard, R Fowler, R Vuduc 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013	204	2013
Many-thread aware prefetching mechanisms for GPGPU applications J Lee, NB Lakshminarayana, H Kim, R Vuduc 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 213-224, 2010	193	2010
On the limits of GPU acceleration R Vuduc, A Chandramowlishwaran, J Choi, M Guney, A Shringarpure Proceedings of the 2nd USENIX conference on Hot topics in parallelism 13 (0), 2010	182	2010
FROSTT: The formidable repository of open sparse tensors and tools S Smith, JW Choi, J Li, R Vuduc, J Park, X Liu, G Karypis	171	2017
POET: Parameterized optimizations for empirical tuning Q Yi, K Seymour, H You, R Vuduc, D Quinlan 2007 IEEE International Parallel and Distributed Processing Symposium, 1-8, 2007	167	2007
Statistical models for empirical search-based performance tuning R Vuduc, JW Demmel, JA Bilmes International Journal of High Performance Computing Applications 18 (1), 65-94, 2004	155	2004
When cache blocking of sparse matrix vector multiply works and why R Nishtala, RW Vuduc, JW Demmel, KA Yelick Applicable Algebra in Engineering, Communication and Computing 18, 297-311, 2007	149	2007

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