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

Lazaros Papadopoulos; Dimitrios Soudris; Christoph Kessler; August Ernstsson; Johan Ahlqvist; Nikos Vasilas; Athanasios I. Papadopoulos; Panos Seferlis; Charles Prouveur; Matthieu Haefele; Samuel Thibault; Athanasios Salamanis; Theodoros Ioakimidis; Dionysios Kehagias


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    <dct:description>&lt;p&gt;Programming upcoming exascale computing sys-&lt;br&gt; tems is expected to be a major challenge. New programming&lt;br&gt; models are required to improve programmability, by hiding the&lt;br&gt; complexity of these systems from application developers. The&lt;br&gt; EXA2PRO programming framework aims at improving devel-&lt;br&gt; opers&amp;rsquo; productivity for applications that target heterogeneous&lt;br&gt; computing systems. It is based on advanced programming models&lt;br&gt; and abstractions that encapsulate low-level platform-specific&lt;br&gt; optimizations and it is supported by a runtime that handles&lt;br&gt; application deployment on heterogeneous nodes. It supports a&lt;br&gt; wide variety of platforms and accelerators (CPU, GPU, FPGA-&lt;br&gt; based Data-Flow Engines), allowing developers to efficiently&lt;br&gt; exploit heterogeneous computing systems, thus enabling more&lt;br&gt; HPC applications to reach exascale computing. The EXA2PRO&lt;br&gt; framework was evaluated using four HPC applications from&lt;br&gt; different domains. By applying the EXA2PRO framework, the&lt;br&gt; applications were automatically deployed and evaluated on a&lt;br&gt; variety of computing architectures, enabling developers to obtain&lt;br&gt; performance results on accelerators, test scalability on MPI&lt;br&gt; clusters and productively investigate the degree by which each&lt;br&gt; application can efficiently use different types of hardware re-&lt;br&gt; sources.&lt;/p&gt;</dct:description>
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