Iterative sparse matrix vector multiplication (SpMV) over GF(2) with CUDA

• Main Author: Prashanth Srinivas G S.
• Other Authors: School of Computer Engineering
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems
• Online Access: http://hdl.handle.net/10356/44049
• Institution: Nanyang Technological University

Solving linear systems of equations (LSEs) is a very common computational problem appearing in numerous research disciplines. From a complexity theoretical point of view, the solution of an LSE is efficiently computable, e.g. by using for example the well known Gaussian elimination algorithm any LSE...