Search results for "sparse-matrix vector multiply"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Jee W. Choi, Amik Singh, Richard W. Vuduc	Model-driven autotuning of sparse matrix-vector multiply on GPUs.	PPOPP	2010	DBLP DOI BibTeX RDF	performance modeling, gpu, sparse matrix-vector multiplication
2	Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri	Low depth cache-oblivious algorithms.	SPAA	2010	DBLP DOI BibTeX RDF	sparse-matrix vector multiply, schedulers, parallel algorithms, multiprocessors, sorting, graph algorithms, cache-oblivious algorithms
2	Rajesh Nishtala, Richard W. Vuduc, James Demmel, Katherine A. Yelick	When cache blocking of sparse matrix vector multiply works and why.	Appl. Algebra Eng. Commun. Comput.	2007	DBLP DOI BibTeX RDF	Sparse matrix multiplication, Performance modeling, Memory hierarchies, Performance optimization
2	Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick	Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply.	ICPP	2004	DBLP DOI BibTeX RDF
1	Mehmet Belgin, Godmar Back, Calvin J. Ribbens	A Library for Pattern-based Sparse Matrix Vector Multiply.	International Journal of Parallel Programming	2011	DBLP DOI BibTeX RDF
1	Michele Martone, Marcin Paprzycki, Salvatore Filippone	An Improved Sparse Matrix-Vector Multiply Based on Recursive Sparse Blocks Layout.	LSSC	2011	DBLP DOI BibTeX RDF
1	Jason D. Bakos, Krishna K. Nagar	Exploiting Matrix Symmetry to Improve FPGA-Accelerated Conjugate Gradient.	FCCM	2009	DBLP DOI BibTeX RDF	sparse matrix vector multiply, FPGA, high-performance computing, reconfigurable computing, conjugate gradient
1	Hans P. Zima, Mary W. Hall, Chun Chen, Jacqueline Chame	Model-guided autotuning of high-productivity languages for petascale computing.	HPDC	2009	DBLP DOI BibTeX RDF	high-productivity languages, model-guided autotuning, peta-scale computing
1	Mehmet Belgin, Godmar Back, Calvin J. Ribbens	Pattern-based sparse matrix representation for memory-efficient SMVM kernels.	ICS	2009	DBLP DOI BibTeX RDF	bcoo, bcsr, matrix splitting, pbr, smvm, spmv, prefetching, vectorization, memory bandwidth, iterative solvers, sparse computations, csr
1	David DuBois, Andrew DuBois, Thomas Boorman, Carolyn Connor Davenport, Steve Poole	An Implementation of the Conjugate Gradient Algorithm on FPGAs.	FCCM	2008	DBLP DOI BibTeX RDF
1	Shubhabrata Sengupta, Mark Harris, Yao Zhang, John D. Owens	Scan primitives for GPU computing.	Graphics Hardware	2007	DBLP DOI BibTeX RDF
1	Samuel Williams, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel	Optimization of sparse matrix-vector multiplication on emerging multicore platforms.	SC	2007	DBLP DOI BibTeX RDF
1	Samuel Williams, John Shalf, Leonid Oliker, Shoaib Kamil, Parry Husbands, Katherine A. Yelick	Scientific Computing Kernels on the Cell Processor.	International Journal of Parallel Programming	2007	DBLP DOI BibTeX RDF	GEMM, SpMV, three level memory, FFT, sparse matrix, Cell processor, Stencil
1	Humberto Calderon, Stamatis Vassiliadis	Reconfigurable Fixed Point Dense and Sparse Matrix-Vector Multiply/Add Unit.	ASAP	2006	DBLP DOI BibTeX RDF
1	Samuel Williams, John Shalf, Leonid Oliker, Shoaib Kamil, Parry Husbands, Katherine A. Yelick	The potential of the cell processor for scientific computing.	Conf. Computing Frontiers	2006	DBLP DOI BibTeX RDF	GEMM, SpMV, three level memory, FFT, sparse matrix, cell processor, stencil
1	Michael DeLorimier, André DeHon	Floating-point sparse matrix-vector multiply for FPGAs.	FPGA	2005	DBLP DOI BibTeX RDF	compressed sparse row, FPGA, reconfigurable architecture, floating point, sparse matrix
1	Eduardo F. D'Azevedo, Mark R. Fahey, Richard Tran Mills	Vectorized Sparse Matrix Multiply for Compressed Row Storage Format.	International Conference on Computational Science	2005	DBLP DOI BibTeX RDF
1	Jimmy Su, Katherine A. Yelick	Array Prefetching for Irregular Array Accesses in Titanium.	IPDPS	2004	DBLP DOI BibTeX RDF
1	Rich Vuduc, Attila Gyulassy, James Demmel, Katherine A. Yelick	Memory Hierarchy Optimizations and Performance ounds for Sparse A.	International Conference on Computational Science	2003	DBLP DOI BibTeX RDF
1	Rich Vuduc, James Demmel, Katherine A. Yelick, Shoaib Kamil, Rajesh Nishtala, Benjamin C. Lee	Performance optimizations and bounds for sparse matrix-vector multiply.	SC	2002	DBLP DOI BibTeX RDF
1	Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Biswas	Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems.	IPDPS Workshops	2000	DBLP DOI BibTeX RDF
1	Ray S. Tuminaro, John N. Shadid, Scott Hutchinson	Parallel sparse matrix vector multiply software for matrices with data locality.	Concurrency - Practice and Experience	1998	DBLP DOI BibTeX RDF