Name
Abstract | ||
|---|---|---|
Accelerator clusters are an ongoing trend in high performance computing, continuously gaining traction and forming a ubiquitous hardware resource for domain scientists to run large-scale simulations on. However, there is often a gap between new hardware technologies and adoption by legacy code bases. Porting real-world applications to new programming models is a difficult undertaking, aggravated b... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/eScience51609.2021.00019 | 2021 IEEE 17th International Conference on eScience (eScience) |
Keywords | DocType | ISBN |
accelerators,gpus,sycl,celerity,distributed memory,parallel programming | Conference | 978-1-6654-0361-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philipp Gschwandtner | 1 | 58 | 7.15 |
| Ralf Kissmann | 2 | 0 | 0.34 |
| David Huber | 3 | 0 | 0.34 |
| Philip Salzmann | 4 | 0 | 0.34 |
| Fabian Knorr | 5 | 0 | 0.34 |
| Peter Thoman | 6 | 79 | 13.20 |
| Thomas Fahringer | 7 | 2847 | 254.09 |