Sparse Matrix Computations on Reconfigurable Hardware

@article{citeulike:1179114, abstract = {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.}, author = {Prasanna, Viktor K. and Morris, Gerald R. }, citeulike-article-id = {1179114}, doi = {10.1109/MC.2007.103}, journal = {Computer}, keywords = {floating\_point, high\_level\_synthesis, high-performance\_computing, reconfigurable\_computing, sparse\_matrix}, number = {3}, pages = {58--64}, posted-at = {2008-05-26 13:09:30}, priority = {2}, title = {Sparse Matrix Computations on Reconfigurable Hardware}, url = {http://dx.doi.org/10.1109/MC.2007.103}, volume = {40}, year = {2007} }

TY - JOUR ID - citeulike:1179114 L3 - citeulike-article-id:1179114 TI - Sparse Matrix Computations on Reconfigurable Hardware JF - Computer VL - 40 IS - 3 SP - 58 EP - 64 N2 - 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. KW - floating_point KW - high_level_synthesis KW - high-performance_computing KW - reconfigurable_computing KW - sparse_matrix AU - Prasanna, Viktor AU - Morris, Gerald PY - 2007/// UR - http://dx.doi.org/10.1109/MC.2007.103 ER -