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

Papadopoulos, Lazaros (author)
Natl Tech Univ Athens, Greece
Soudris, Dimitrios (author)
Natl Tech Univ Athens, Greece
Kessler, Christoph (author)
Linköpings universitet,Programvara och system,Tekniska fakulteten
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Ernstsson, August (author)
Linköpings universitet,Programvara och system,Tekniska fakulteten
Ahlqvist, Johan (author)
Linköpings universitet,Institutionen för datavetenskap,Tekniska fakulteten
Vasilas, Nikos (author)
Ctr Res & Technol Hellas, Greece
Papadopoulos, Athanasios I (author)
Ctr Res & Technol Hellas, Greece
Seferlis, Panos (author)
Ctr Res & Technol Hellas, Greece
Prouveur, Charles (author)
CEA, France
Haefele, Matthieu (author)
Univ Pau & Pays Adour, France
Thibault, Samuel (author)
Bordeaux Univ, France
Salamanis, Athanasios (author)
Ctr Res & Technol Hellas, Greece
Ioakimidis, Theodoros (author)
Ctr Res & Technol Hellas, Greece
Kehagias, Dionysios (author)
Ctr Res & Technol Hellas, Greece
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 (creator_code:org_t)
IEEE Computer Society, 2022
2022
English.
In: IEEE Transactions on Parallel and Distributed Systems. - : IEEE Computer Society. - 1045-9219 .- 1558-2183. ; 33:4, s. 792-804
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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, FPGA-based 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

Programming; Skeleton; Computational modeling; Runtime; Exascale computing; Task analysis; Productivity; Programming models; skeleton programming; task-based runtime systems; programming productivity; heterogeneous systems; exascale computing

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