Extending MAGMA Portability with OneAPI
Author:
Affiliation:
1. University of North Texas,Department of Computer Science and Engineering,Denton,USA
2. University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029346/10029455/10029468.pdf?arnumber=10029468
Reference44 articles.
1. From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming
2. Case Study of Using Kokkos and SYCL as Performance-Portable Frameworks for Milc-Dslash Benchmark on NVIDIA, AMD and Intel GPUs
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1. MAGMA: Enabling exascale performance with accelerated BLAS and LAPACK for diverse GPU architectures;The International Journal of High Performance Computing Applications;2024-06-20
2. Programming Model Extensions for General-Purpose Processing-In-Memory;ISC High Performance 2024 Research Paper Proceedings (39th International Conference);2024-05
3. Exploring Numba and CuPy for GPU-Accelerated Monte Carlo Radiation Transport;Computation;2024-03-20
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