Name
Abstract | ||
|---|---|---|
Despite the recent dramatic advances in the computational and data processing capacities of the commodity solutions, a numerous scientific, socioeconomic and industrial “grand challenges” exists that could be solved only through capabilities that exceed the current solutions by orders of magnitude. To demonstrate the feasibility of addressing these problems necessitating processing of exascale data sets, novel architectural approaches are needed. These architectures need to support efficient service composition and balancing infrastructure- and user-centric points of view of exascale infrastructures and services. This combination of bottom-up and top-down approaches aims at narrowing the gap between infrastructure services and paving the way towards future high capacity generations einfrastructure. The resulting architecture will help us provide computing solutions to exascale challenges within the H2020 project PROCESS
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PROCESS project homepage https://www.process-project.eu/. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/FSKD.2018.8686900 | 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) |
Keywords | Field | DocType |
exascale computing,exascale data management,architecture,functional design,brownfield applications | Data science,Exascale computing,Architecture,Data processing,Computer science,Commodity,Functional design,Brownfield,Service composition,Grand Challenges,Artificial intelligence,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-5386-8098-8 | 1 | 0.41 |
References | Authors | |
13 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Bobák | 1 | 16 | 3.59 |
| Adam Belloum | 2 | 334 | 44.13 |
| Piotr Nowakowski | 3 | 63 | 11.48 |
| Jan Meizner | 4 | 47 | 4.90 |
| Marian Bubak | 5 | 1497 | 231.68 |
| Matti Heikkurinen | 6 | 1 | 0.41 |
| ONDREJ HABALA | 7 | 44 | 13.62 |
| Ladislav Hluchý | 8 | 212 | 40.92 |