Richard Vuduc

Citado por

	Total	Desde 2019
Citas	9996	3342
Índice h	46	32
Índice i10	105	69

720

360

180

540

200320042005200620072008200920102011201220132014201520162017201820192020202120222023202433 54 88 110 149 213 289 451 490 604 554 687 697 717 581 672 636 631 573 552 551 399

Acceso público

Ver todo

46 artículos

5 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyDirección de correo verificada de berkeley.edu
Katherine YelickVice Chancellor for Research and EECS Professor, UC Berkeley and Sr. Faculty Scientist, LBNLDirección de correo verificada de lbl.gov
Jee W. ChoiUniversity of OregonDirección de correo verificada de uoregon.edu
Aparna ChandramowlishwaranAssociate Professor of Electrical Engineering and Computer Science, University of California IrvineDirección de correo verificada de uci.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Jiajia LiNorth Carolina State UniversityDirección de correo verificada de ncsu.edu
Piyush Kumar SaoOak Ridge National LaboratoryDirección de correo verificada de ornl.gov
Hyesoon KimGeorgia TechDirección de correo verificada de cc.gatech.edu
Leonid OlikerComputer Scientist, Lawrence Berkeley National LaboratoryDirección de correo verificada de lbl.gov
Ioakeim PerrosLead Staff Machine Learning Scientist, HEALTH[at]SCALEDirección de correo verificada de healthatscale.com
Samuel WilliamsSenior Scientist, Lawrence Berkeley National LaboratoryDirección de correo verificada de lbl.gov
Rajesh NishtalaFacebookDirección de correo verificada de fb.com
Jeffrey YoungResearch Scientist, Georgia Institute of TechnologyDirección de correo verificada de gatech.edu
Benjamin C. LeeProfessor, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
John ShalfDepartment Head for Computer Science, Lawrence Berkeley National LaboratoryDirección de correo verificada de lbl.gov
George BirosProfessor, Oden Institute for Computational Engineering and Sciences, The University of Texas atDirección de correo verificada de acm.org
Qing YiLawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Jason RiedyPrinciple Member of Technical Staff, AMDDirección de correo verificada de acm.org
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterDirección de correo verificada de icl.utk.edu
Casey BattaglinoGeorgia TechDirección de correo verificada de gatech.edu

Seguir

Richard Vuduc

Georgia Institute of Technology

Dirección de correo verificada de cc.gatech.edu - Página principal

high performance computing parallel computing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1072	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	728	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	577	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	430	2004
Automatic performance tuning of sparse matrix kernels RW Vuduc University of California, Berkeley, 2003	363	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	279	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	272	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	252	2009
Fast sparse matrix-vector multiplication by exploiting variable block structure R Vuduc, HJ Moon High Performance Computing and Communications, 807-816, 2005	224	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	219	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
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	205	2002
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	204	2012
A roofline model of energy JW Choi, D Bedard, R Fowler, R Vuduc 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013	199	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	181	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	166	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	164	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	152	2007

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores