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Volumn 25, Issue 1, 2011, Pages 115-131

Optimizing sparse data structures for matrix-vector multiply

Author keywords

data stream; prefetch; sparse matrix vector multiply; streamed blocked compressed row storage format; streamed compressed row storage format

Indexed keywords

DATA STREAM; PREFETCH; SPARSE MATRIX VECTOR MULTIPLY; STREAMED BLOCKED COMPRESSED ROW STORAGE FORMAT; STREAMED COMPRESSED ROW STORAGE FORMAT;

EID: 79951628991     PISSN: 10943420     EISSN: 17412846     Source Type: Journal    
DOI: 10.1177/1094342010374847     Document Type: Article
Times cited : (12)

References (19)
  • 11
    • 25144499116 scopus 로고    scopus 로고
    • Vectorized sparse matrix multiply for compressed row storage format
    • D'Azevedo, F.E., Fahey, R.M., and Mills, T.R. (2005). Vectorized sparse matrix multiply for compressed row storage format. In Computational Science - ICCS 2005 (Lecture Notes in Computer Science). pp. 99-106.
    • (2005) Lecture Notes in Computer Science , pp. 99-106
    • D'Azevedo, F.E.1    Fahey, R.M.2    Mills, T.R.3
  • 12
    • 0029290074 scopus 로고    scopus 로고
    • Data distributions for sparse matrix vector multiplication
    • Romero, L.F. and Zapata, E.L. (2005). Data distributions for sparse matrix vector multiplication. Parallel Comput. 21, 583-605.
    • (2005) Parallel Comput , vol.21 , pp. 583-605
    • Romero, L.F.1    Zapata, E.L.2
  • 13
    • 60949098907 scopus 로고    scopus 로고
    • Optimization of sparse matrix-vector multiplication on emerging multicore platforms
    • Williams, S., Oliker, L., Vuduc, R., Shalf, J., Yelick, K., and Demmel, J. (2009). Optimization of sparse matrix-vector multiplication on emerging multicore platforms. Parallel Comput. 35 (3). 178-194.
    • (2009) Parallel Comput , vol.35 , Issue.3 , pp. 178-194
    • Williams, S.1    Oliker, L.2    Vuduc, R.3    Shalf, J.4    Yelick, K.5    Demmel, J.6
  • 14
    • 2942628343 scopus 로고    scopus 로고
    • Optimizing sparse matrix-vector product computations using unroll and jam
    • Mellor-Crummey, J. and Garvin, J. (2004). Optimizing sparse matrix-vector product computations using unroll and jam. Int. J. High Perform. Comput. Appl. 18 (2). 225-236.
    • (2004) Int. J. High Perform. Comput. Appl , vol.18 , Issue.2 , pp. 225-236
    • Mellor-Crummey, J.1    Garvin, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.