Name
Abstract | ||
|---|---|---|
Efficient and effective performance analysis techniques are critical for the development of future generation systems. They are the drivers behind the required co-design process that helps establish the principles needed for their design. In this paper, we will highlight two such approaches: PAVE, a project that investigates mapping of performance data to more intuitive domains and uses advanced visualization techniques to expose problems, and GREMLIN, a system evaluation environment capable of emulating expected properties of exascale architectures on petascale machines. Combined with other approaches in system modeling and simulation, these projects enable us to provide a meaningful introspection into a target application's characteristics as well as its expected behavior and, more importantly, likely bottlenecks on future generation machines. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-381-0-19 | PARALLEL COMPUTING: ACCELERATING COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) |
Keywords | Field | DocType |
Performance Analysis,Performance Visualization,Co-Design,Architecture Emulation | Co-design,Computer science,Parallel computing,Real-time computing,Computational science | Conference |
Volume | ISSN | Citations |
25 | 0927-5452 | 3 |
PageRank | References | Authors |
0.38 | 0 | 13 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Schulz | 1 | 2227 | 129.64 |
| Jim Belak | 2 | 126 | 3.61 |
| Abhinav Bhatele | 3 | 625 | 43.42 |
| Peer-Timo Bremer | 4 | 1446 | 82.47 |
| Greg Bronevetsky | 5 | 949 | 44.91 |
| Marc Casas | 6 | 113 | 7.08 |
| Todd Gamblin | 7 | 527 | 44.56 |
| Katherine E. Isaacs | 8 | 173 | 12.44 |
| Ignacio Laguna | 9 | 239 | 24.56 |
| Joshua A. Levine | 10 | 369 | 19.64 |
| Valerio Pascucci | 11 | 3241 | 192.33 |
| David Richards | 12 | 3 | 0.38 |
| Barry Rountree | 13 | 1013 | 51.24 |