EXA2PRO programming environment
Author(s) -
Dimitrios Soudris,
Lazaros Papadopoulos,
Christoph Keßler,
Dionysios Kehagias,
Αθανάσιος Ι. Παπαδόπουλος,
Panos Seferlis,
Alexander Chatzigeorgiou,
Apostolos Ampatzoglou,
Samuel Thibault,
Raymond Namyst,
D. Pleiter,
Georgi Gaydadjiev,
Tobias Becker,
Matthieu Haefelé
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3229631.3239369
Subject(s) - software portability , computer science , exascale computing , fault tolerance , supercomputer , reusability , software deployment , distributed computing , programming paradigm , computer architecture , benchmark (surveying) , software engineering , operating system , software , embedded system , programming language , geodesy , geography
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 systemsu0027 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.
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