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Toward a scalable multi-GPU eigensolver via compute-intensive kernels and efficient communication.

, , , and . ICS, page 223-232. ACM, (2013)

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A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines., , , , , , , , , and 1 other author(s). ACM Trans. Math. Softw., 47 (3): 21:1-21:23 (2021)Linear algebra software for large-scale accelerated multicore computing., , , , , , , , , and . Acta Numer., (2016)Translational process: Mathematical software perspective., , , and . J. Comput. Sci., (2021)Bringing High Performance Computing to Big Data Algorithms., , , , , , and . Handbook of Big Data Technologies, Springer, (2017)A survey of recent developments in parallel implementations of Gaussian elimination., , , , , , and . Concurr. Comput. Pract. Exp., 27 (5): 1292-1309 (2015)High-performance hybrid CPU and GPU parallel algorithm for digital volume correlation., , and . Int. J. High Perform. Comput. Appl., 29 (1): 92-106 (2015)Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs., , and . Parallel Comput., (2018)Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems., , , , , , , , , and . Supercomput. Front. Innov., 2 (4): 67-86 (2015)High performance digital volume correlation. University of Illinois Urbana-Champaign, USA, (2011)PAQR: Pivoting Avoiding QR factorization., , , , , , , , , and 2 other author(s). IPDPS, page 322-332. IEEE, (2023)