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Application Centric Energy-Efficiency Study of Distributed Multi-Core and Hybrid CPU-GPU Systems.

, , , , , and . SC, page 819-829. IEEE Computer Society, (2014)

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20 petaflops simulation of proteins suspensions in crowding conditions., , , and . SC, page 2:1-2:11. ACM, (2013)Stanford Center for Integrated Turbulence Simulations., and . Comput. Sci. Eng., 2 (2): 54-63 (2000)GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis., , , , , , , and . J. Parallel Distributed Comput., (April 2024)Power/Performance Trade-Offs of Small Batched LU Based Solvers on GPUs., , , and . Euro-Par, volume 8097 of Lecture Notes in Computer Science, page 813-825. Springer, (2013)A GPU Implementation of the Sparse Deep Neural Network Graph Challenge., and . HPEC, page 1-8. IEEE, (2019)Multi-GPU codes for spin systems simulations., , , and . Comput. Phys. Commun., 183 (7): 1416-1421 (2012)Direct numerical simulations of turbulent pipe flow via a portable message-passing code., and . Parallel CFD, page 67-75. North Holland, (1996)Petaflop biofluidics simulations on a two million-core system., , , , , and . SC, page 4:1-4:12. ACM, (2011)Accelerating linpack with CUDA on heterogenous clusters.. GPGPU, volume 383 of ACM International Conference Proceeding Series, page 46-51. ACM, (2009)GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows., , , and . CoRR, (2020)