Peppher: Performance Portability and Programmability for Heterogeneous Many-Core Architectures

Benkner, S. (author): Universität Wien,University of Vienna,University of Vienna, Austria

Pllana, Sabri (author): Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Parallel Computing

Träff, J.L. (author): Technische Universität Wien,Vienna University of Technology,University of Vienna, Austria

Tsigas, Philippas, 1967 (author): Chalmers tekniska högskola,Chalmers University of Technology

Richards, A. (author): Codeplay Software Ltd,Codeplay Software Limited, United Kingdom

Namyst, R. (author): Institut National de Recherche en Informatique et en Automatique (INRIA),INRIA, France

Sanders, P. (author): Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT),KarlsruherInstitut Für Technologie, Germany

(creator_code:org_t)

ISBN 9781119332015
2017-01-27
2017
English.
In: Programming Multicore and Many-Core Computing Systems. - Hoboken, NJ, USA : John Wiley & Sons, Inc.. - 9781119332015 - 9780470936900 ; , s. 241-260

Related links:: http://dx.doi.org/10...; show more...; http://onlinelibrary...; https://doi.org/10.1...; https://research.cha...; https://urn.kb.se/re...; show less...

Abstract Subject headings

© 2017 by John Wiley & Sons, Inc. All rights reserved. PEPPHER takes a pluralistic and parallelization agnostic approach to programmability and performance portability for heterogeneous many-core architectures. The PEPPHER framework is in principle language independent but focuses on supporting C++ code with PEPPHER-specific annotations as pragmas or external annotations. The framework is open and extensible; the PEPPHER methodology details how new architectures are incorporated. The PEPPHER methodology consists of rules for how to extend the framework for new architectures. This mainly concerns adaptivity and autotuning for algorithm libraries, the necessary hooks and extensions for the run-time system and any supporting algorithms and data structures that this relies on. Offloading is a specific technique for programming heterogeneous platforms that can sometimes be applied with high efficiency. Offload as developed by the PEPPHER partner Codeplay is a particular, nonintrusive C++ extension allowing portable C++ code to support diverse heterogeneous multicore architectures in a single code base.

NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

By the author/editor: Benkner, S.; Pllana, Sabri; Träff, J.L.; Tsigas, Philippa ...; Richards, A.; Russell, G.; show more...; Thibault, S.; Augonnet, C.; Namyst, R.; Cornelius, H.; Keler, C.; Moloney, D.; Sanders, P.; show less...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Science ...

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