Name
Abstract | ||
|---|---|---|
Executing message-passing parallel applications on a large number of resources in an efficient way is not a trivial task. Due to the complex interaction between the parallel applications and the HPC system, many applications may suffer performance inefficiencies when they scale. To achieve an efficient use of these large-scale systems using thousands of cores, a point to consider before executing ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPDS.2017.2763148 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Scalability,Tools,Predictive models,Computational modeling,Mathematical model,Multicore processing,Hardware | Computer science,Scalability testing,Multi-core processor,Bounded function,Scalability,Distributed computing | Journal |
Volume | Issue | ISSN |
29 | 3 | 1045-9219 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javier Panadero | 1 | 18 | 8.03 |
| Alvaro Wong | 2 | 37 | 8.11 |
| Dolores Rexachs | 3 | 195 | 43.20 |
| Emilio Luque | 4 | 1097 | 176.18 |