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https://ruomo.lib.uom.gr/handle/7000/873
Title: | EXA2PRO programming environment |
Authors: | Soudris, Dimitrios Papadopoulos, Lazaros Kessler, Christoph W. Kehagias, Dionysios Papadopoulos, Athanasios Seferlis, Panos Chatzigeorgiou, Alexander Ampatzoglou, Apostolos Thibault, Samuel Namyst, Raymond Pleiter, Dirk Gaydadjiev, Georgi Becker, Tobias Haefele, Matthieu |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Issue Date: | 2018 |
First Page: | 202 |
Last Page: | 209 |
Volume Title: | Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation |
Abstract: | The EXA2PRO programming environment will integrate a set of tools and methodologies that will allow to systematically address many exascale computing challenges, including performance, performance portability, programmability, abstraction and reusability, fault tolerance and technical debt. The EXA2PRO tool-chain will enable the efficient deployment of applications in exascale computing systems, by integrating high-level software abstractions that offer performance portability and efficient exploitation of exascale systems' heterogeneity, tools for efficient memory management, optimizations based on trade-offs between various metrics and fault-tolerance support. Hence, by addressing various aspects of productivity challenges, EXA2PRO is expected to have significant impact in the transition to exascale computing, as well as impact from the perspective of applications. The evaluation will be based on 4 applications from 4 different domains that will be deployed in JUELICH supercomputing center. The EXA2PRO will generate exploitable results in the form of a tool-chain that support diverse exascale heterogeneous supercomputing centers and concrete improvements in various exascale computing challenges. |
URI: | https://doi.org/10.1145/3229631.3239369 https://ruomo.lib.uom.gr/handle/7000/873 |
ISBN: | 9781450364942 |
Other Identifiers: | 10.1145/3229631.3239369 |
Appears in Collections: | Department of Applied Informatics |
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