메뉴 건너뛰기




Volumn 73, Issue 12, 2013, Pages 1539-1550

Sparse matrix-vector multiplication on the Single-Chip Cloud Computer many-core processor

Author keywords

Many core; Optimization; Performance; Power efficiency; Sparse matrix

Indexed keywords

DATA COMPRESSION TECHNIQUES; MANY-CORE; OPTIMIZATION TECHNIQUES; PERFORMANCE; POWER EFFICIENCY; SINGLE-CHIP CLOUD COMPUTERS; SPARSE MATRICES; SPARSE MATRIX-VECTOR MULTIPLICATION;

EID: 84885948161     PISSN: 07437315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpdc.2013.07.017     Document Type: Article
Times cited : (12)

References (29)
  • 2
  • 5
    • 33645913852 scopus 로고    scopus 로고
    • Performance comparison of data-reordering algorithms for sparse matrix-vector multiplication in edge-based unstructured grid computations
    • A.L.G.A. Coutinho, M.A.D. Martins, R.M. Sydenstricker, and R.N. Elias Performance comparison of data-reordering algorithms for sparse matrix-vector multiplication in edge-based unstructured grid computations Internat. J. Numer. Methods Engrg. 66 3 2006 431 460
    • (2006) Internat. J. Numer. Methods Engrg. , vol.66 , Issue.3 , pp. 431-460
    • Coutinho, A.L.G.A.1    Martins, M.A.D.2    Sydenstricker, R.M.3    Elias, R.N.4
  • 7
    • 84885951571 scopus 로고    scopus 로고
    • University of Florida Sparse Matrix Collection
    • T. Davis, University of Florida Sparse Matrix Collection, NA Digest 97 (23). http://www.cise.ufl.edu/research/sparse/matrices.
    • NA Digest , vol.97 , Issue.23
    • Davis, T.1
  • 8
    • 70450227686 scopus 로고    scopus 로고
    • Performance evaluation of the sparse matrix-vector multiplication on modern architectures
    • G. Goumas, K. Kourtis, N. Anastopoulos, V. Karakasis, and N. Koziris Performance evaluation of the sparse matrix-vector multiplication on modern architectures J. Supercomput. 50 1 2009 36 77
    • (2009) J. Supercomput. , vol.50 , Issue.1 , pp. 36-77
    • Goumas, G.1    Kourtis, K.2    Anastopoulos, N.3    Karakasis, V.4    Koziris, N.5
  • 11
    • 1542501019 scopus 로고    scopus 로고
    • SPARSITY: Optimization framework for sparse matrix kernels
    • E.J. Im, K.A. Yelick, and R. Vuduc SPARSITY: optimization framework for sparse matrix kernels Int. J. High Perform. Comput. Appl. 18 1 2004 135 158
    • (2004) Int. J. High Perform. Comput. Appl. , vol.18 , Issue.1 , pp. 135-158
    • Im, E.J.1    Yelick, K.A.2    Vuduc, R.3
  • 12
    • 84885960296 scopus 로고    scopus 로고
    • Intel, Measuring Processor Power: TDP vs. ACP, white paper, April 2011
    • Intel, Measuring Processor Power: TDP vs. ACP, white paper, April 2011.
  • 13
    • 84885947825 scopus 로고    scopus 로고
    • Intel Labs, SCC External Architecture Specification (EAS), November 2010
    • Intel Labs, SCC External Architecture Specification (EAS), November 2010.
  • 14
    • 84885958699 scopus 로고    scopus 로고
    • Intel Labs, SCC Programmer's Guide, November 2011
    • Intel Labs, SCC Programmer's Guide, November 2011.
  • 20
    • 0036734103 scopus 로고    scopus 로고
    • Effects of ordering strategies and programming paradigms on sparse matrix computations
    • L. Oliker, X. Li, P. Husbands, and R. Biswas Effects of ordering strategies and programming paradigms on sparse matrix computations SIAM Rev. 44 3 2002 373 393
    • (2002) SIAM Rev. , vol.44 , Issue.3 , pp. 373-393
    • Oliker, L.1    Li, X.2    Husbands, P.3    Biswas, R.4
  • 21
    • 80054888287 scopus 로고    scopus 로고
    • Analyzing the execution of sparse matrix-vector product on the Finisterrae SMP-NUMA system
    • J.C. Pichel, J.A. Lorenzo, D.B. Heras, J.C. Cabaleiro, and T.F. Pena Analyzing the execution of sparse matrix-vector product on the Finisterrae SMP-NUMA system J. Supercomput. 58 2 2011 195 205
    • (2011) J. Supercomput. , vol.58 , Issue.2 , pp. 195-205
    • Pichel, J.C.1    Lorenzo, J.A.2    Heras, D.B.3    Cabaleiro, J.C.4    Pena, T.F.5
  • 23
    • 84857332778 scopus 로고    scopus 로고
    • Optimization of sparse matrix-vector multiplication using reordering techniques on GPUs
    • J.C. Pichel, F.F. Rivera, M. Fernández, and A. Rodríguez Optimization of sparse matrix-vector multiplication using reordering techniques on GPUs Microprocess. Microsyst. 36 2 2012 65 77
    • (2012) Microprocess. Microsyst. , vol.36 , Issue.2 , pp. 65-77
    • Pichel, J.C.1    Rivera, F.F.2    Fernández, M.3    Rodríguez, A.4
  • 25
    • 3042576437 scopus 로고    scopus 로고
    • Improving performance of sparse matrix-vector multiplication
    • A. Pinar, M. Heath, Improving performance of sparse matrix-vector multiplication, in: Proc. of Supercomputing, 1999.
    • (1999) Proc. of Supercomputing
    • Pinar, A.1    Heath, M.2
  • 27
    • 84856529095 scopus 로고    scopus 로고
    • Light-weight communications on Intel's single-chip cloud computer processor
    • R.F. van der Wijngaart, T. Mattson, and W. Haas Light-weight communications on Intel's single-chip cloud computer processor ACM SIGOPS Oper. Syst. Rev. 45 2011 73 83
    • (2011) ACM SIGOPS Oper. Syst. Rev. , vol.45 , pp. 73-83
    • Van Der Wijngaart, R.F.1    Mattson, T.2    Haas, W.3
  • 28
    • 33646389518 scopus 로고    scopus 로고
    • Fast sparse matrix-vector multiplication by exploiting variable block structure
    • Lecture Notes in Computer Science
    • R. Vuduc, and H. Moon Fast sparse matrix-vector multiplication by exploiting variable block structure High Performance Computing and Communications Lecture Notes in Computer Science vol. 3726 2005 807 816
    • (2005) High Performance Computing and Communications , vol.3726 VOL. , pp. 807-816
    • Vuduc, R.1    Moon, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.