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Sparse Matrix Computations on Reconfigurable Hardware

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2 Author(s)
Prasanna, V.K. ; Univ. of Southern California, CA ; Morris, G.R.

Using a high-level-language to hardware-description-language compiler and some novel architectures and algorithms to map two well-known double-precision floating-point sparse matrix iterative-linear-equation solvers - the Jacobi and conjugate gradient methods - onto a reconfigurable computer achieves more than a twofold speedup over software

Published in:

Computer  (Volume:40 ,  Issue: 3 )