Square Matrix Multiplication Using CUDA on GP-GU
نویسندگان
چکیده
منابع مشابه
Efficient Sparse Matrix-Vector Multiplication on CUDA
The massive parallelism of graphics processing units (GPUs) offers tremendous performance in many high-performance computing applications. While dense linear algebra readily maps to such platforms, harnessing this potential for sparse matrix computations presents additional challenges. Given its role in iterative methods for solving sparse linear systems and eigenvalue problems, sparse matrix-v...
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Article history: Received 10 November 2012 Received in revised form 2 September 2013 Accepted 15 September 2013 Available online 8 October 2013
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2019
ISSN: 1877-0509
DOI: 10.1016/j.procs.2019.11.138