high performance computing on graphics processing units: hgpu.org

Jeongnim Kim, Andrew Baczewski, Todd D. Beaudet, Anouar Benali, M. Chandler Bennett, Mark A. Berrill, Nick S. Blunt, Michele Casula, David M. Ceperley, Simone Chiesa, Bryan K. Clark, Raymond C. Clay III, Kris T. Delaney, Mark Dewing, Kenneth P. Esler, Hongxia Hao, Olle Heinonen, Paul R. C. Kent, Jaron T. Krogel, Ilkka Kylanpaa, Ying Wai Li, M. Graham Lopez, Ye Luo, Richard M. Martin, Amrita Mathuriya, Jeremy McMinis, Cody A. Melton, Lubos Mitas, Miguel A. Morales, Eric Neuscamman, William D. Parker, Sergio D. Pineda Flores, Nichols A. Romero, Brenda M. Rubenstein, Jacqueline A. R. Shea, Hyeondeok Shin, Luke Shulenburger, Andreas Tillack, Joshua P. Townsend, Norm M. Tubman, Brett Van Der Goetz, Jordan E. Vincent, Yubo Yang, Shuai Zhang, Luning Zhao

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Tags: Algorithms, Chemical Physics, Computational Physics, CUDA, nVidia, Package, Physics, QMC

March 3, 2018 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

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high performance computing on graphics processing units: hgpu.org

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