PDFAbstract: 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.
Keywords: Numerical Method, FPGA, GPU, Sparse Matrices, Matrices.
Cite this paper
Khaled Salah, Mohamed AbdelSalam. (2017) Performance Comparison of FPGAs and GPUs: Solving Sparse Matrices Case-Study. International Journal of Mathematical and Computational Methods, 2 , 161-170
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