Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems

Author:

Chen Jieyang1,Liang Xin2,Zhao Kai1,Sabzi Hadi Zamani3,Bhuyan Laxmi3,Chen Zizhong3

Affiliation:

1. University of Alabama at Birmingham, Birmingham, Alabama, USA

2. University of Kentucky, Lexington, Kentucky, USA

3. University of California, Riverside, Riverside, California, USA

Funder

U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through the Advanced Computing (SciDAC) program

National Science Foundation

Publisher

ACM

Reference53 articles.

1. PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

2. Voltage Overscaling Algorithms for Energy-Efficient Workflow Computations With Timing Errors

3. Choong-Seock Chang , Seunghoe Ku , and H Weitzner . 2004. Numerical study of neoclassical plasma pedestal in a tokamak geometry. Physics of Plasmas 11, 5 ( 2004 ). Choong-Seock Chang, Seunghoe Ku, and H Weitzner. 2004. Numerical study of neoclassical plasma pedestal in a tokamak geometry. Physics of Plasmas 11, 5 (2004).

4. Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs

5. GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs

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