Data-driven analysis to understand GPU hardware resource usage of optimizations

Tanzima Z. Islam, Holland Schutte, Mohammad Zaeed, Aniruddha Marathe, Department of Computer Science, Texas State University, San Marcos, Department of Computer Science, Western Washington University, Center for Applied Scientific Computing , Lawrence Livermore National Laboratory

The International Journal of High Performance Computing Applications

Published online on March 05, 2026

Abstract

The International Journal of High Performance Computing Applications, Volume 40, Issue 3, Page 404-420, May 2026.
With heterogeneous systems, the number of GPUs per chip increases to provide computational capabilities for solving science at a nanoscopic scale. However, low utilization for single GPUs defies the need to invest more money in expensive accelerators. ...