Performance Comparison of FPGAs and GPUs: Solving Sparse Matrices Case-Study
Khaled Salah, Mohamed AbdelSalam · International Journal of Mathematical and Computational Methods · 2017
In this paper, performance comparison of FPGAs and GPUs are introduced. Numerical methods to solve sparse matrices are evaluated as the main case-study. The experimental results showed that GPUs show superior performance over FPGAs/HW Emulation in terms of run time for small #equations. For large number of equations “in order of ten millions”, the FPGAs/HW emulation outperforms GPUs as the parallelism rate of the emulation becomes higher in that case.