Accelerating Scientific Applications using High Performance Dense and Sparse Linear Algebra Kernels on GPUs
High performance computing (HPC) platforms are evolving to more heterogeneous configurations to support the workloads of various applications. The current hardware landscape is composed of traditional multicore CPUs equipped with hardware accelerators that can handle high levels of parallelism. Grap...
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| Language: | en |
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2015
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| Online Access: | Abdelfattah, A. (2015). Accelerating Scientific Applications using High Performance Dense and Sparse Linear Algebra Kernels on GPUs. KAUST Research Repository. https://doi.org/10.25781/KAUST-2QE21 http://hdl.handle.net/10754/346955 |