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Numerical methods and programming, 2009, Volume 10, Issue 3, Pages 321–326 (Mi vmp384)  
Вычислительные методы и приложения

Implementation of a nonsymmetric linear solver on GPU

S. N. Chadov

Ivanovo State Power University
Full-text PDF (299 kB)
Abstract: An implementation of a nonsymmetric sparse linear solver on GPU is considered. The solver uses a version of the BiCG-STAB algorithm. This algorithm is shortly described. Several sparse matrix storage formats are given with consideration of the NVIDIA GPGPU hardware features. The performance of the implementation is analyzed compared to the performance of a similar algorithm run on contemporary CPUs. The impact of several factors on the performance is discussed with some suggestions on further development.
Keywords: parallel computing; sparse linear solver; GPGPU; CUDA; BiCG-STAB.
Document Type: Article
UDC: 004.021:519.683:519.684
Language: Russian
Citation: S. N. Chadov, “Implementation of a nonsymmetric linear solver on GPU”, Num. Meth. Prog., 10:3 (2009), 321–326
Citation in format AMSBIB
\Bibitem{Cha09}
\by S.~N.~Chadov
\paper Implementation of a nonsymmetric linear solver on GPU
\jour Num. Meth. Prog.
\yr 2009
\vol 10
\issue 3
\pages 321--326
\mathnet{http://mi.mathnet.ru/vmp384}
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