Issue No. 03 - March (2007 vol. 40)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2007.103
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.
reconfigurable computing, Jacobi method, Conjugate gradient method, FPGAs
G. R. Morris and V. K. Prasanna, "Sparse Matrix Computations on Reconfigurable Hardware," in Computer, vol. 40, no. , pp. 58-64, 2007.