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Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era.

, , , , , , , , и . P3HPC@SC, стр. 36-46. IEEE, (2022)

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Aschraf Abdelfattah

Basem Abdelfattah

Aadel Abdelfattah

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Nahed Abdelfattah

 

Другие публикации лиц с тем же именем

High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications., , и . Euro-Par, том 9233 из Lecture Notes in Computer Science, стр. 601-612. Springer, (2015)Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era., , , , , , , , и . P3HPC@SC, стр. 36-46. IEEE, (2022)Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs., , , и . HPEC, стр. 1-7. IEEE, (2020)Progressive Optimization of Batched LU Factorization on GPUs., , и . HPEC, стр. 1-6. IEEE, (2019)Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations., , , , и . PMBS@SC, стр. 26-38. IEEE, (2020)Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs., , , и . Concurr. Comput. Pract. Exp., 28 (12): 3447-3465 (2016)MAGMA templates for scalable linear algebra on emerging architectures., , , , , , , и . Int. J. High Perform. Comput. Appl., (2020)Accelerating Scientific Applications using High Performance Dense and Sparse Linear Algebra Kernels on GPUs.. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2015)base-search.net (ftkingabdullahun:oai:repository.kaust.edu.sa:10754/346955).On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures., , , и . IPDPS Workshops, стр. 1249-1258. IEEE Computer Society, (2016)High-performance Cholesky factorization for GPU-only execution., , , и . GPGPU@PPoPP, стр. 42-52. ACM, (2017)