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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)A hybrid Hermitian general eigenvalue solver, , , , , and . CoRR, (2012)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)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)Model-Driven One-Sided Factorizations on Multicore Accelerated Systems., , , , , and . Supercomput. Front. Innov., 1 (1): 85-115 (2014)Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems., , , , , , , , , and . Supercomput. Front. Innov., 2 (4): 67-86 (2015)Fast Cholesky factorization on GPUs for batch and native modes in MAGMA., , , and . J. Comput. Sci., (2017)Batched matrix computations on hardware accelerators based on GPUs., , , , and . Int. J. High Perform. Comput. Appl., 29 (2): 193-208 (2015)Performance Analysis of Parallel FFT on Large Multi-GPU Systems., , , , and . IPDPS Workshops, page 372-381. IEEE, (2022)Accelerating Numerical Dense Linear Algebra Calculations with GPUs., , , , , , and . Numerical Computations with GPUs, Springer, (2014)