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Towards Achieving Performance Portability Using Directives for Accelerators.

, , , , , , and . WACCPD@SC, page 13-24. IEEE Computer Society, (2016)

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Performance analysis and acceleration of explicit integration for large kinetic networks using batched GPU computations., , , , , , and . HPEC, page 1-7. IEEE, (2016)Mixed-Precision Orthogonalization Scheme and Adaptive Step Size for Improving the Stability and Performance of CA-GMRES on GPUs., , , and . VECPAR, volume 8969 of Lecture Notes in Computer Science, page 17-30. Springer, (2014)Evaluation of directive-based performance portable programming models., , , , , , and . IJHPCN, 14 (2): 165-182 (2019)Autotuning GEMM Kernels for the Fermi GPU., , and . IEEE Trans. Parallel Distributed Syst., 23 (11): 2045-2057 (2012)Scalability Issues in FFT Computation., , , and . PaCT, volume 12942 of Lecture Notes in Computer Science, page 279-287. Springer, (2021)Explicit and Averaging A Posteriori Error Estimates for Adaptive Finite Volume Methods., , and . SIAM J. Numer. Anal., 42 (6): 2496-2521 (2005)Stability and Performance of Various Singular Value QR Implementations on Multicore CPU with a GPU., , and . ACM Trans. Math. Softw., 43 (2): 10:1-10:18 (2016)State-of-the-art eigensolvers for electronic structure calculations of large scale nano-systems., , , , , and . J. Comput. Phys., 227 (15): 7113-7124 (2008)Translational process: Mathematical software perspective., , , and . J. Comput. Sci., (2021)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)