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Sparse Matrix Computations on Reconfigurable Hardware
March 2007 (vol. 40 no. 3)
pp. 58-64
Gerald R. Morris, US Army Engineer Research and Development Center
Viktor K. Prasanna, University of Southern California
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.
Index Terms:
reconfigurable computing, Jacobi method, Conjugate gradient method, FPGAs
Citation:
Gerald R. Morris, Viktor K. Prasanna, "Sparse Matrix Computations on Reconfigurable Hardware," Computer, vol. 40, no. 3, pp. 58-64, March 2007, doi:10.1109/MC.2007.103
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