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

• المؤلف الرئيسي: Prashanth Srinivas G S.
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2011
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/44049
• المؤسسة: 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...