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Optimized HPL for AMD GPU and multi-core CPU usage., , , and . Comput. Sci. Res. Dev., 26 (3-4): 153-164 (2011)A Load-Distributed Linpack Implementation for Heterogeneous Clusters., and . HPCC/CSS/ICESS, page 436-443. IEEE, (2015)An Energy-Efficient Multi-GPU Supercomputer., , , , , , , , , and 2 other author(s). HPCC/CSS/ICESS, page 42-45. IEEE, (2014)A Flexible and Portable Large-Scale DGEMM Library for Linpack on Next-Generation Multi-GPU Systems., and . PDP, page 664-668. IEEE Computer Society, (2015)Lattice-CSC: Optimizing and Building an Efficient Supercomputer for Lattice-QCD and to Achieve First Place in Green500., , , , , and . ISC, volume 9137 of Lecture Notes in Computer Science, page 179-196. Springer, (2015)A Comprehensive Approach for a Power Efficient General Purpose Supercomputer., , , , , , , , , and 1 other author(s). PDP, page 336-342. IEEE Computer Society, (2013)On development, feasibility, and limits of highly efficient CPU and GPU programs in several fields - fast parallel SIMDized GPU-accelerated reed-solomon encoding, heterogeneous linpack benchmark, and event reconstruction for the ALICE experiment.. Universität Frankfurt a. M., (2013)The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014., , and . CoRR, (2018)Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG., , , , , and . SC, page 74:1-74:11. ACM, (2015)Multi-GPU DGEMM and High Performance Linpack on Highly Energy-Efficient Clusters., , , and . IEEE Micro, 31 (5): 18-27 (2011)