Name
Title | ||
|---|---|---|
Providing In-depth Performance Analysis for Heterogeneous Task-based Applications with StarVZ |
Abstract | ||
|---|---|---|
Task-based parallelism has adequately addressed the coding complexity required to fully exploit the processing power offered by omnipresent hybrid CPU/GPU supercomputers. However, its performance highly depends on the proper runtime system setup. Analyzing and tuning the performance of task-based applications running on hybrid platforms is challenging since they present unstructured communication ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IPDPSW52791.2021.00013 | 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) |
Keywords | DocType | ISBN |
Performance evaluation,Visualization,Runtime,Scalability,Tools,Parallel processing,Supercomputers | Conference | 978-1-6654-3577-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vinicius Garcia Pinto | 1 | 2 | 1.72 |
| Lucas Leandro Nesi | 2 | 0 | 0.34 |
| Marcelo Cogo Miletto | 3 | 0 | 0.34 |
| Lucas Mello Schnorr | 4 | 96 | 15.10 |