Analyzing memory accesses for performance and correctness of parallel programs
Analyzing memory accesses for performance and correctness of parallel programs
Tim Cramer
2017 · DOI: 10.18154/RWTH-2017-06527
0 Citations
TLDR
This work will first present a systematic methodology for the assessment of OpenMP for target devices, patterns for the efficient usage of task-based programming on Non-Uniform Memory Access (NUMA) architectures, and the improvement of standard-compliant tool support.
