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GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems

Kreutzer, Moritz and Thies, Jonas and Röhrig-Zöllner, Melven and Pieper, Andreas and Shahzad, Faisal and Galgon, Martin and Basermann, Achim and Fehske, Holger and Hager, Georg and Wellein, Gerhard (2016) GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems. International Journal of Parallel Programming. Springer. DOI: 10.1007/s107660160464z ISSN 0885-7458

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Official URL: http://link.springer.com/article/10.1007/s10766-016-0464-z

Abstract

While many of the architectural details of future exascale-class high performance computer systems are still a matter of intense research, there appears to be a general consensus that they will be strongly heterogeneous, featuring “standard” as well as “accelerated” resources. Today, such resources are available as multicore processors, graphics processing units (GPUs), and other accelerators such as the Intel Xeon Phi. Any software infrastructure that claims usefulness for such environments must be able to meet their inherent challenges: massive multi-level parallelism, topology, asynchronicity, and abstraction. The “General, Hybrid, and Optimized Sparse Toolkit” (GHOST) is a collection of building blocks that targets algorithms dealing with sparse matrix representations on current and future large-scale systems. It implements the “MPI+X” paradigm, has a pure C interface, and provides hybrid-parallel numerical kernels, intelligent resource management, and truly heterogeneous parallelism for multicore CPUs, Nvidia GPUs, and the Intel Xeon Phi. We describe the details of its design with respect to the challenges posed by modern heterogeneous supercomputers and recent algorithmic developments. Implementation details which are indispensable for achieving high efficiency are pointed out and their necessity is justified by performance measurements or predictions based on performance models. The library code and several applications are available as open source. We also provide instructions on how to make use of GHOST in existing software packages, together with a case study which demonstrating the applicability and performance of GHOST as a component within a larger software stack.

Item URL in elib:https://elib.dlr.de/100066/
Document Type:Article
Title:GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kreutzer, MoritzErlangen Regional Computing CenterUNSPECIFIED
Thies, JonasJonas.Thies (at) dlr.deUNSPECIFIED
Röhrig-Zöllner, MelvenMelven.Roehrig-Zoellner (at) dlr.deUNSPECIFIED
Pieper, AndreasPieper (at) physik.uni-greifswald.deUNSPECIFIED
Shahzad, FaisalFaisal.Shahzad (at) rrze.fau.deUNSPECIFIED
Galgon, Martingalgon (at) math.uni-wuppertal.deUNSPECIFIED
Basermann, AchimAchim.Basermann (at) dlr.dehttps://orcid.org/0000-0003-3637-3231
Fehske, HolgerErnst-Moritz-Arndt University of GreifswaldUNSPECIFIED
Hager, GeorgErlangen Regional Computing CenterUNSPECIFIED
Wellein, GerhardErlangen Regional Computing CenterUNSPECIFIED
Date:2016
Journal or Publication Title:International Journal of Parallel Programming
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s107660160464z
Publisher:Springer
ISSN:0885-7458
Status:Published
Keywords:sparse linear algebra, heterogeneous computing, software library, task parallelism, large scale computing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology
Deposited By: Thies, Jonas
Deposited On:09 Dec 2015 16:13
Last Modified:31 Jul 2019 19:56

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