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Volumn , Issue , 2011, Pages 247-256

CSX: An extended compression format for SpMV on shared memory systems

Author keywords

Compression; Shared memory; SMP; Sparse matrix vector multiplication; SpMV

Indexed keywords

COMPRESSION; SHARED MEMORIES; SMP; SPARSE MATRIX-VECTOR MULTIPLICATION; SPMV;

EID: 79952786461     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1941553.1941587     Document Type: Conference Paper
Times cited : (55)

References (27)
  • 1
    • 84983621818 scopus 로고
    • A high performance algorithm using pre-processing for the sparse matrix-vector multiplication
    • Minn. MN, November, IEEE
    • R. C. Agarwal, F. G. Gustavson, and M. Zubair. A high performance algorithm using pre-processing for the sparse matrix-vector multiplication. In Supercomputing'92, pages 32-41, Minn., MN, November 1992. IEEE.
    • (1992) Supercomputing'92 , pp. 32-41
    • Agarwal, R.C.1    Gustavson, F.G.2    Zubair, M.3
  • 6
    • 84947911090 scopus 로고    scopus 로고
    • Decomposing Irregularly Sparse Matrices for Parallel Matrix-Vector Multiplication
    • Parallel Algorithms for Irregularly Structured Problems
    • U. V. Catalyuerek and C. Aykanat. Decomposing irregularly sparse matrices for parallel matrix-vector multiplication. Lecture Notes In Computer Science, 1117:75-86, 1996. (Pubitemid 126107937)
    • (1996) LECTURE NOTES IN COMPUTER SCIENCE , Issue.1117 , pp. 75-86
    • Catalyuerek, U.V.1    Aykanat, C.2
  • 7
    • 0003197949 scopus 로고    scopus 로고
    • University of Florida sparse matrix collection
    • T. Davis. University of Florida sparse matrix collection. NA Digest, 97(23):7, 1997.
    • (1997) NA Digest , vol.97 , Issue.23 , pp. 7
    • Davis, T.1
  • 11
    • 84949647432 scopus 로고    scopus 로고
    • Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
    • Computational Science - ICCS 2001
    • E. Im and K. Yelick. Optimizing sparse matrix computations for register reuse in SPARSITY. Lecture Notes in Computer Science, 2073:127-136, 2001. (Pubitemid 33285441)
    • (2001) LECTURE NOTES IN COMPUTER SCIENCE , Issue.2073 , pp. 127-136
    • Im, E.-J.1    Yelick, K.2
  • 14
    • 55849145179 scopus 로고    scopus 로고
    • Improving the performance of multithreaded sparse matrix-vector multiplication using index and value compression
    • Sept.
    • K. Kourtis, G. Goumas, and N. Koziris. Improving the performance of multithreaded sparse matrix-vector multiplication using index and value compression. In 37th International Conference on Parallel Processing (ICPP'08), pages 511-519, Sept. 2008.
    • (2008) 37th International Conference on Parallel Processing (ICPP'08) , pp. 511-519
    • Kourtis, K.1    Goumas, G.2    Koziris, N.3
  • 18
    • 3042618790 scopus 로고    scopus 로고
    • Improving the locality of the sparse matrix-vector product on shared memory multiprocessors
    • IEEE Computer Society
    • J. C. Pichel, D. B. Heras, J. C. Cabaleiro, and F. F. Rivera. Improving the locality of the sparse matrix-vector product on shared memory multiprocessors. In PDP, pages 66-71. IEEE Computer Society, 2004.
    • (2004) PDP , pp. 66-71
    • Pichel, J.C.1    Heras, D.B.2    Cabaleiro, J.C.3    Rivera, F.F.4
  • 19
    • 85031264203 scopus 로고    scopus 로고
    • Improving performance of sparse matrix-vector multiplication
    • Portland, OR, November, ACM SIGARCH and IEEE
    • A. Pinar and M. T. Heath. Improving performance of sparse matrix-vector multiplication. In Supercomputing'99, Portland, OR, November 1999. ACM SIGARCH and IEEE.
    • (1999) Supercomputing'99
    • Pinar, A.1    Heath, M.T.2
  • 20
    • 0003550735 scopus 로고
    • SPARSKIT: A basic tool kit for sparse matrix computations
    • University of Minnesota, Minneapolis, MN 55455, June, Version 2
    • Y. Saad. SPARSKIT: A basic tool kit for sparse matrix computations. Technical report, Computer Science Department, University of Minnesota, Minneapolis, MN 55455, June 1994. Version 2.
    • (1994) Technical Report, Computer Science Department
    • Saad, Y.1
  • 22
    • 0031269220 scopus 로고    scopus 로고
    • Improving the memory-system performance of sparse-matrix vector multiplication
    • S. Toledo. Improving the memory-system performance of sparse-matrix vector multiplication. IBM Journal of Research and Development, 41(6):711-725, 1997. (Pubitemid 127557044)
    • (1997) IBM Journal of Research and Development , vol.41 , Issue.6 , pp. 711-725
    • Toledo, S.1
  • 23
    • 84990830919 scopus 로고    scopus 로고
    • Performance optimizations and bounds for sparse matrix-vector multiply
    • Baltimore, MD, November
    • R. Vuduc, J. Demmel, K. Yelick, S. Kamil, R. Nishtala, and B. Lee. Performance optimizations and bounds for sparse matrix-vector multiply. In Supercomputing, Baltimore, MD, November 2002.
    • (2002) Supercomputing
    • Vuduc, R.1    Demmel, J.2    Yelick, K.3    Kamil, S.4    Nishtala, R.5    Lee, B.6
  • 24
    • 33646389518 scopus 로고    scopus 로고
    • Fast sparse matrix-vector multiplication by exploiting variable block structure
    • volume 3726 of Lecture Notes in Computer Science, Springer
    • R. W. Vuduc and H. Moon. Fast sparse matrix-vector multiplication by exploiting variable block structure. In High Performance Computing and Communications, volume 3726 of Lecture Notes in Computer Science, pages 807-816. Springer, 2005.
    • (2005) High Performance Computing and Communications , pp. 807-816
    • Vuduc, R.W.1    Moon, H.2
  • 26
    • 34547468948 scopus 로고    scopus 로고
    • Accelerating sparse matrix computations via data compression
    • DOI 10.1145/1183401.1183444, Proceedings of the 20th Annual International Conference on Supercomputing, ICS 2006
    • J. Willcock and A. Lumsdaine. Accelerating sparse matrix computations via data compression. In ICS'06: Proceedings of the 20th annual International Conference on Supercomputing, pages 307-316, New York, NY, USA, 2006. ACM Press. (Pubitemid 47168517)
    • (2006) Proceedings of the International Conference on Supercomputing , pp. 307-316
    • Willcock, J.1    Lumsdaine, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.