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Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures.

, , , and . ICCS, volume 108 of Procedia Computer Science, page 606-615. Elsevier, (2017)

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Model-Driven One-Sided Factorizations on Multicore Accelerated Systems., , , , , and . Supercomput. Front. Innov., 1 (1): 85-115 (2014)Accelerating Numerical Dense Linear Algebra Calculations with GPUs., , , , , , and . Numerical Computations with GPUs, Springer, (2014)Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations., , , , , and . ISC, volume 7905 of Lecture Notes in Computer Science, page 67-80. Springer, (2013)Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs., , , and . ICS, page 5:1-5:10. ACM, (2017)Heterogeneous Streaming., , , , , , , , , and 8 other author(s). IPDPS Workshops, page 611-620. IEEE Computer Society, (2016)Abstract: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks., , , , and . SC Companion, page 1338-1339. IEEE Computer Society, (2012)Parallel reduction to condensed forms for symmetric eigenvalue problems using aggregated fine-grained and memory-aware kernels., , and . SC, page 8:1-8:11. ACM, (2011)Heterogenous Acceleration for Linear Algebra in Multi-coprocessor Environments., , , and . VECPAR, volume 8969 of Lecture Notes in Computer Science, page 31-42. Springer, (2014)Performance Analysis of Parallel FFT on Large Multi-GPU Systems., , , , and . IPDPS Workshops, page 372-381. IEEE, (2022)Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers., , , and . SC, page 47:1-47:11. IEEE / ACM, (2018)