Funder
Exascale Computing Project
National Nuclear Security Administration
National Science Foundation
U.S. Department of Energy
Advanced Scientific Computing Research
ASCR X-Stack Project
University of Maryland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Cited by
81 articles.
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1. Crystal Structure Prediction and Performance Assessment of Hydrogen Storage Materials: Insights from Computational Materials Science;Energies;2024-07-22
2. Accelerated Auto-Tuning of GPU Kernels for Tensor Computations;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30
3. TunIO: An AI-powered Framework for Optimizing HPC I/O;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27
4. Predicting Cross-Architecture Performance of Parallel Programs;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27
5. An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27