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Reducing the amount of out-of-core data access for GPU-accelerated randomized SVD.

, , , , , и . Concurr. Comput. Pract. Exp., (2020)

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Aleksandar Tomov

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Daniela Tomova

Tsvetomir Tomov

Toma Tomov

 

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Accelerating Scientific Computations with Mixed Precision Algorithms, , , , , , , и . CoRR, (2008)Performance Analysis and Optimisation of Two-sided Factorization Algorithms for Heterogeneous Platform., , , и . ICCS, том 51 из Procedia Computer Science, стр. 180-190. Elsevier, (2015)Accelerating the LOBPCG method on GPUs using a blocked sparse matrix vector product., , и . SpringSim (HPS), стр. 75-82. SCS/ACM, (2015)Performance analysis and design of a hessenberg reduction using stabilized blocked elementary transformations for new architectures., , , и . SpringSim (HPS), стр. 135-142. SCS/ACM, (2015)Mixed-Precision Cholesky QR Factorization and Its Case Studies on Multicore CPU with Multiple GPUs., , и . SIAM J. Sci. Comput., (2015)Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices., , , , , , и . Parallel Comput., (2019)GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision., , , , , и . CoRR, (2021)A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic., , , , , , , , , и 15 other автор(ы). CoRR, (2020)Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures., , , и . J. Comput. Sci., (2018)Access-averse framework for computing low-rank matrix approximations., , , , и . IEEE BigData, стр. 70-77. IEEE Computer Society, (2014)