Reese Levine, Mingun Cho, Devon McKee, Andrew Quinn, Tyler Sorensen
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Tags: Algorithms, AMD Radeon Instinct MI250X, ATI, CUDA, High Energy Physics - Lattice, HIP, MPI, nVidia, nVidia A100, Package, Physics, QCD
Igor Sfiligoi, Emily A. Belli, Jeff Candy, Reuben D. Budiardja
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Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo Cesar, Anna Sikora, Ali Jannesari
Tags: AMD Radeon HD 7970, ATI, Benchmarking, Computer science, Deep learning, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 970, OpenCL, OpenMP
Noel Chalmers, Jakub Kurzak, Damon McDougall, Paul T. Bauman
Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara Chapman, Ali Jannesari
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Tags: AMD Radeon Instinct Mi50, ATI, Benchmarking, Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, OpenMP, performance portability, Tesla P100, Tesla V100
Manuel de Castro, Inmaculada Santamaria-Valenzuela, Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos
February 12, 2023 by
hgpuAlok Mishra, Abid M. Malik, Meifeng Lin, Barbara Chapman
Tags: AMD Radeon Instinct Mi50, ATI, Benchmarking, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce RTX 2080, OpenMP, Tesla A100, Tesla K80, Tesla V100
Yu-Hsiang M. Tsai, Terry Cojean, Hartwig Anzt
Tags: AMD Radeon Instinct MI100, ATI, Computer science, CUDA, Linear Algebra, nVidia, nVidia A100, OpenCL, Package, performance portability, Sparse, SYCL
