Name
Abstract | ||
|---|---|---|
It is an ongoing challenge to efficiently use parallelism with today’s multi- and many-core processors. Scalability becomes more crucial than ever with the rapidly growing number of processing elements in many-core systems that operate in data centres and embedded domains. Guaranteeing scalability is often ensured by using fully-strict fork/join concurrency, which is the prevalent approach used by... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IPDPS49936.2021.00044 | 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) |
Keywords | DocType | ISSN |
Concurrent computing,Distributed processing,Runtime,Scalability,Instruction sets,Parallel processing,Performance gain | Conference | 1530-2075 |
ISBN | Citations | PageRank |
978-1-6654-4066-0 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Schmaus | 1 | 1 | 0.35 |
| Nicolas Pfeiffer | 2 | 1 | 0.35 |
| Wolfgang Schröder-Preikschat | 3 | 1 | 0.35 |
| Timo Hönig | 4 | 61 | 14.57 |
| Jörg Nolte | 5 | 29 | 10.00 |