Richard Vuduc

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	All	Since 2016
Citations	7501	3130
h-index	40	32
i10-index	89	66

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Co-authors

James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyVerified email at berkeley.edu
Katherine YelickAssociate Laboratory Director of Computing Sciences, LBNL and EECS Professor, UC BerkeleyVerified email at lbl.gov
Qing YiUniversity of Colorado at Colorado SpringsVerified email at uccs.edu
Jee W. ChoiUniversity of OregonVerified email at uoregon.edu
Aparna ChandramowlishwaranUniversity of California IrvineVerified email at uci.edu
Jiajia LiPacific Northwest National LaboratoryVerified email at pnnl.gov
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Leonid OlikerComputer Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Hyesoon KimGeorgia TechVerified email at cc.gatech.edu
piyush kumar saoOak Ridge National LabVerified email at ornl.gov
Samuel WilliamsSenior Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Rajesh NishtalaFacebookVerified email at fb.com
John ShalfDepartment Head for Computer Science, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Ioakeim PerrosLead Machine Learning Scientist, HEALTH[at]SCALEVerified email at gatech.edu
George BirosProfessor, Oden Institute for Computational Engineering and Sciences, The University of Texas atVerified email at acm.org
Benjamin C. LeeProfessor, University of PennsylvaniaVerified email at seas.upenn.edu
Shoaib KamilAdobeVerified email at adobe.com
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterVerified email at icl.utk.edu
Rahul S. SampathExxonMobil Technical Computing CompanyVerified email at exxonmobil.com
Denis ZorinProfessor of Computer Science and Mathematics, Courant Institute, NYUVerified email at cs.nyu.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 SC'07: Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, 1-12, 2007	885	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	603	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	454	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	364	2004
Automatic performance tuning of sparse matrix kernels RW Vuduc, JW Demmel University of California, Berkeley, 2003	298	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	248	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	217	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	211	2009
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	184	2010
Fast sparse matrix-vector multiplication by exploiting variable block structure R Vuduc, HJ Moon High Performance Computing and Communications, 807-816, 2005	170	2005
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	163	2002
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, 2010	162	2010
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	158	2010
A roofline model of energy JW Choi, D Bedard, R Fowler, R Vuduc 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013	151	2013
Falcon: fault localization in concurrent programs S Park, RW Vuduc, MJ Harrold Proceedings of the 32nd ACM/IEEE International Conference on Software …, 2010	151	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	136	2012
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	132	2004
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	131	2007
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 (3), 297-311, 2007	124	2007
Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems S Venkatasubramanian, RW Vuduc, none none Proceedings of the 23rd international conference on Supercomputing, 244-255, 2009	112	2009

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