Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function
نویسندگان
چکیده
We investigate the performance of two approaches for matrix inversion based on Gaussian (LU factorization) and Gauss-Jordan eliminations. The target architecture is a current general-purpose multicore processor connected to a graphics processor (GPU). Parallelism is extracted in both processors by linking sequential versions of the codes with multi-threaded implementations of BLAS. Our results on a system with two Intel QuadCore processors and a Tesla C1060 GPU illustrate the performance and scalability attained by the codes on this system.
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تاریخ انتشار 2009