GPU Performance Prediction Through Parallel Discrete Event Simulation and Common Sense
Guillaume Chapuis, Stephan Eidenbenz, Nandakishore Santhi · 2016
We present the GPU Module of a Performance Prediction Toolkit developed at Los Alamos National Laboratory, which enables code developers to efficiently test novel algorithmic ideas particularly for large-scale computational physics codes. The GPU Module is a heavily-parameterized model of the GPU ha