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High-performance Cholesky factorization for GPU-only execution., , , and . GPGPU@PPoPP, page 42-52. ACM, (2017)Towards batched linear solvers on accelerated hardware platforms., , , , and . PPoPP, page 261-262. ACM, (2015)Energy efficiency and performance frontiers for sparse computations on GPU supercomputers., , and . PMAM@PPoPP, page 1-10. ACM, (2015)Mixed-precision block gram Schmidt orthogonalization., , , , and . ScalA@SC, page 2:1-2:8. ACM, (2015)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)Strengthening compute and data intensive capacities of Armenia., , , , , , and . RoEduNet, page 28-33. IEEE, (2015)Self-healing in Binomial Graph Networks., , and . OTM Workshops (2), volume 4806 of Lecture Notes in Computer Science, page 1032-1041. Springer, (2007)Adaptive precision solvers for sparse linear systems., , and . E2SC@SC, page 2:1-2:10. ACM, (2015)Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi., , , , , and . HPEC, page 1-7. IEEE, (2017)LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU., , , , , and . HPCC/CSS/ICESS, page 157-160. IEEE, (2014)