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On the performance and energy efficiency of the PGAS programming model on multicore architectures., , , , and . HPCS, page 800-807. IEEE, (2016)CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters., , , , and . CSE, page 17-26. IEEE Computer Society, (2015)Scalable Heterogeneous CPU-GPU Computations for Unstructured Tetrahedral Meshes., , , , and . IEEE Micro, 35 (4): 6-15 (2015)Panda: A Compiler Framework for Concurrent CPU + GPU Execution of 3D Stencil Computations on GPU-accelerated Supercomputers., , and . International Journal of Parallel Programming, 45 (3): 711-729 (2017)The READEX formalism for automatic tuning for energy efficiency, , , , , , , , , and 11 other author(s). Computing, (2017)Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures., , , , , , and . SC, page 41:1-41:12. ACM, (2017)Effective multi-GPU communication using multiple CUDA streams and threads., , , and . ICPADS, page 981-986. IEEE Computer Society, (2014)Multi-GPU Implementations of Parallel 3D Sweeping Algorithms with Application to Geological Folding., , and . ICCS, volume 51 of Procedia Computer Science, page 1494-1503. Elsevier, (2015)The READEX formalism for automatic tuning for energy efficiency., , , , , , , , , and 11 other author(s). Computing, 99 (8): 727-745 (2017)Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures., , and . ICPADS, page 497-506. IEEE, (2018)