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We contribute a third-party survey of sparse matrix-vector (SpMV) product performance on industrial-strength, large matrices using: (1) The SpMV implementations in Intel MKL, the Trilinos project (Tpetra subpackage), the CUSPARSE library, and the CUSP library, each running on modern architectures.
Free energy of a nonuniform system. I. Interfacial free energy
J. W. Cahn and J. E. Hilliard · 1958
Earlier work this paper cites.
Discontinuous Galerkin Methods for Solving Elliptic and Parabolic Equations: Theory and Implementation
B. Rivière · 2008
Earlier work this paper cites.
Implementing sparse matrix-vector multiplication on throughput-oriented processors
N. Bell and M. Garland · 2009
Earlier work this paper cites.
A next-generation parallel reservoir simulator for giant reservoirs
A. H. Dogru, L. S. Fung, U. Middya, T. M. Al-Shaalan, J. A. Pita, K. HemanthKumar, H. Su, J. C. Tan, H. Hoy, W. Dreiman, et al · 2009
Cited alongside, same era.
Optimization of sparse matrix–vector multiplication on emerging multicore platforms
S. Williams, L. Oliker, R. Vuduc, J. Shalf, K. Yelick, and J. Demmel · 2009
Cited alongside, same era.
https://github.com/cusplibrary/cusplibrary
CUSP
Cited in the paper.
Intel Math Kernel Library
Intel
Cited in the paper.
The Trilinos Project
S. N. Laboratories
Cited in the paper.
CUSPARSE
NVIDIA
Cited in the paper.
New frontiers in large scale reservoir simulation
A. H. Dogru, L. S. K. Fung, U. Middya, T. M. Al-Shaalan, T. Byer, H. Hoy, W. A. Hahn, N. Al-Zamel, J. A. Pita, K. Hemanthkumar, M. Mezghani, A. Al-Mana, J. Tan, W. Dreiman, A. Fugl, and A. Al-Baiz · 2011
Later among the works it cites.
Spmv: A memory-bound application on the gpu stuck between a rock and a hard place
J. D. Davis and E. S. Chung · 2012
Later among the works it cites.
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