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Experiences in autotuning matrix multiplication for energy minimization on GPUs.

, , , , and . Concurr. Comput. Pract. Exp., 27 (17): 5096-5113 (2015)

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Anatomy of a globally recursive embedded LINPACK benchmark., and . HPEC, page 1-6. IEEE, (2012)Parallel reduction to hessenberg form with algorithm-based fault tolerance., , , and . SC, page 88:1-88:11. ACM, (2013)Exploiting Mixed Precision Floating Point Hardware in Scientific Computations., , , , , , and . High Performance Computing Workshop, volume 16 of Advances in Parallel Computing, page 19-36. IOS Press, (2006)Programming the LU Factorization for a Multicore System with Accelerators., , , and . VECPAR, volume 7851 of Lecture Notes in Computer Science, page 28-35. Springer, (2012)ScaLAPACK., and . Encyclopedia of Parallel Computing, Springer, (2011)With Extreme Computing, the Rules Have Changed., , , , , , , , and . Comput. Sci. Eng., 19 (3): 52-62 (2017)Recursive approach in sparse matrix LU factorization., , and . Sci. Program., 9 (1): 51-60 (2001)Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting., , , and . Concurr. Comput. Pract. Exp., 26 (7): 1408-1431 (2014)Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators., , and . HPEC, page 1-6. IEEE, (2019)Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators., , , , and . Proc. IEEE, 106 (11): 2040-2055 (2018)