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Tools and techniques for performance - Exploiting the performance of 32 bit floating point arithmetic in obtaining 64 bit accuracy (revisiting iterative refinement for linear systems).

, , , , , and . SC, page 113. ACM Press, (2006)

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Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators., , and . HPEC, page 1-6. IEEE, (2019)Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting., , , and . Concurr. Comput. Pract. Exp., 26 (7): 1408-1431 (2014)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)Anatomy of a globally recursive embedded LINPACK benchmark., and . HPEC, page 1-6. IEEE, (2012)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)Parallel reduction to hessenberg form with algorithm-based fault tolerance., , , and . SC, page 88:1-88:11. ACM, (2013)Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques., , and . ScalA@SC, page 35-43. IEEE, (2020)Towards Portable Runtime Support for Irregular and Out-of-Core Computations., and . PVM/MPI, volume 1697 of Lecture Notes in Computer Science, page 59-66. Springer, (1999)Weighted dynamic scheduling with many parallelism grains for offloading of numerical workloads to multiple varied accelerators., , , , , and . ScalA@SC, page 5:1-5:8. ACM, (2015)