Name
Abstract | ||
|---|---|---|
In this paper, we address the question of how to automatically map computational kernels to highly efficient code for a wide range of computing platforms and establish the correctness of the synthesized code. More specifically, we focus on two fundamental problems that software developers are faced with: performance portability across the ever-changing landscape of parallel platforms and correctne... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JPROC.2018.2873289 | Proceedings of the IEEE |
Keywords | DocType | Volume |
High performance computing,Performance evaluation,Multicore processing,DSL,Performance evaluation,Tuning,Network synthesis | Journal | 106 |
Issue | ISSN | Citations |
11 | 0018-9219 | 7 |
PageRank | References | Authors |
0.55 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Franz Franchetti | 1 | 974 | 88.39 |
| Tze Meng Low | 2 | 146 | 19.62 |
| Popovici, Doru Thom | 3 | 30 | 5.61 |
| Richard Veras | 4 | 280 | 9.85 |
| Daniele G. Spampinato | 5 | 92 | 8.05 |
| Jeremy R. Johnson | 6 | 298 | 28.09 |
| Markus Püschel | 7 | 982 | 80.64 |
| James C. Hoe | 8 | 2048 | 141.34 |
| José M. F. Moura | 9 | 5137 | 426.14 |