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EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems

Abstract : Programming upcoming exascale computing systems is expected to be a major challenge. New programming models are required to improve programmability, by hiding the complexity of these systems from application developers. The EXA2PRO programming framework aims at improving developers' productivity for applications that target heterogeneous computing systems. It is based on advanced programming models and abstractions that encapsulate low-level platform-specific optimizations and it is supported by a runtime that handles application deployment on heterogeneous nodes. It supports a wide variety of platforms and accelerators (CPU, GPU, FPGAbased Data-Flow Engines), allowing developers to efficiently exploit heterogeneous computing systems, thus enabling more HPC applications to reach exascale computing. The EXA2PRO framework was evaluated using four HPC applications from different domains. By applying the EXA2PRO framework, the applications were automatically deployed and evaluated on a variety of computing architectures, enabling developers to obtain performance results on accelerators, test scalability on MPI clusters and productively investigate the degree by which each application can efficiently use different types of hardware resources.
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Contributor : Samuel Thibault Connect in order to contact the contributor
Submitted on : Tuesday, August 10, 2021 - 2:53:12 PM
Last modification on : Friday, July 8, 2022 - 10:08:23 AM
Long-term archiving on: : Thursday, November 11, 2021 - 6:13:26 PM


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Lazaros Papadopoulos, Dimitrios Soudris, Christoph Kessler, August Ernstsson, Johan Ahlqvist, et al.. EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems. IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2021, Special Section on Innovative R&D toward the Exascale Era, ⟨10.1109/TPDS.2021.3104257⟩. ⟨hal-03318644⟩



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