Issue No.03 - March (2007 vol.40)
Gerald R. Morris , US Army Engineer Research and Development Center
Viktor K. Prasanna , University of Southern California
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2007.103
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
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