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Benchmarking the NVIDIA V100 GPU and Tensor Cores., , and . Euro-Par Workshops, volume 11339 of Lecture Notes in Computer Science, page 444-455. Springer, (2018)Evaluating attainable memory bandwidth of parallel programming models via BabelStream., , , and . Int. J. Comput. Sci. Eng., 17 (3): 247-262 (2018)Pragmatic Performance Portability with OpenMP 4.x., , , and . IWOMP, volume 9903 of Lecture Notes in Computer Science, page 253-267. (2016)Assessing the performance portability of modern parallel programming models using TeaLeaf., , and . Concurr. Comput. Pract. Exp., (2017)Application-Based Fault Tolerance Techniques for Fully Protecting Sparse Matrix Solvers., , , and . CLUSTER, page 733-740. IEEE Computer Society, (2017)Exploring On-Node Parallelism with Neutral, a Monte Carlo Neutral Particle Transport Mini-App., and . CLUSTER, page 498-508. IEEE Computer Society, (2017)An improved parallelism scheme for deterministic discrete ordinates transport., , , and . Int. J. High Perform. Comput. Appl., 32 (4): 555-569 (2018)Evaluating OpenMP 4.0's Effectiveness as a Heterogeneous Parallel Programming Model., , and . IPDPS Workshops, page 338-347. IEEE Computer Society, (2016)The Productivity, Portability and Performance of OpenMP 4.5 for Scientific Applications Targeting Intel CPUs, IBM CPUs, and NVIDIA GPUs., and . IWOMP, volume 10468 of Lecture Notes in Computer Science, page 185-200. Springer, (2017)GPU-STREAM v2.0: Benchmarking the Achievable Memory Bandwidth of Many-Core Processors Across Diverse Parallel Programming Models., , , and . ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 489-507. (2016)