Name
Abstract | ||
|---|---|---|
Abstract-OpenMP is the preferred choice for CPU parallelism in High-Performance-Computing (HPC) applications written in C, C++, or Fortran. As HPC systems became heterogeneous, OpenMP introduced support for accelerator offloading via the target directive. This allowed porting existing (CPU) code onto GPUs, including well established CPU parallelism paradigms. However, there are architectural diffe... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/CGO53902.2022.9741290 | 2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) |
Keywords | DocType | ISSN |
Analytical models,Codes,Runtime,Semantics,Graphics processing units,Static analysis,Parallel processing | Conference | 2164-2397 |
ISBN | Citations | PageRank |
978-1-6654-0584-3 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Huber | 1 | 0 | 0.68 |
| Melanie Cornelius | 2 | 0 | 0.34 |
| Giorgis Georgakoudis | 3 | 0 | 0.34 |
| Shilei Tian | 4 | 0 | 0.68 |
| Jose M Monsalve Diaz | 5 | 0 | 0.68 |
| Kuter Dinel | 6 | 0 | 0.34 |
| Barbara Chapman | 7 | 0 | 0.68 |
| Johannes Doerfert | 8 | 1 | 3.07 |