Preparing HPC Applications for Exascale: Challenges and Recommendations

被引：10

作者：

Abraham, Erika ^{[1
]}

Bekas, Costas ^{[2
]}

Brandic, Ivona ^{[3
]}

Genaim, Samir ^{[4
]}

Johnsen, Einar Broch ^{[5
]}

Kondov, Ivan ^{[6
]}

Pllana, Sabri ^{[7
]}

Streit, Achim ^{[6
]}

机构：

[1] Rhein Westfal TH Aachen, Aachen, Germany

[2] IBM Res, Zurich, Switzerland

[3] Vienna Univ Technol, Vienna, Austria

[4] Univ Complutense Madrid, Madrid, Spain

[5] Univ Oslo, Dept Informat, N-0316 Oslo, Norway

[6] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76021 Karlsruhe, Germany

[7] Linnaeus Univ, Dept Comp Sci, Vaxjo, Sweden

来源：

PROCEEDINGS 2015 18TH INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS (NBIS 2015) | 2015年

关键词：

PERFORMANCE; SUPPORT;

D O I：

10.1109/NBiS.2015.61

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

While the HPC community is working towards the development of the first Exaflop computer (expected around 2020), after reaching the Petaflop milestone in 2008 still only few HPC applications are able to fully exploit the capabilities of Petaflop systems. In this paper we argue that efforts for preparing HPC applications for Exascale should start before such systems become available. We identify challenges that need to be addressed and recommend solutions in key areas of interest, including formal modeling, static analysis and optimization, runtime analysis and optimization, and autonomic computing. Furthermore, we outline a conceptual framework for porting HPC applications to future Exascale computing systems and propose steps for its implementation.

引用

页码：401 / 406

页数：6

共 31 条

[1]

Aguilar X., 2013, EXASCALE DEV ENV STA

[2]

Alonso P., 2012, 2012 41st International Conference on Parallel Processing (ICPP 2012), P420, DOI 10.1109/ICPP.2012.57

[3]

Arkin E, 2013, LECT NOTES COMPUT SC, V8107, P757, DOI 10.1007/978-3-642-41533-3_46

[4] A new energy aware performance metric [J].

Bekas, Costas ;

Curioni, Alessandro .

COMPUTER SCIENCE-RESEARCH AND DEVELOPMENT, 2010, 25 (3-4) :187-195

[5] PERISCOPE: An Online-Based Distributed Performance Analysis Tool [J].

Benedict, Shajulin ;

Petkov, Ventsislav ;

Gerndt, Michael .

TOOLS FOR HIGH PERFORMANCE COMPUTING 2009, 2010, :1-16

[6] PEPPHER: EFFICIENT AND PRODUCTIVE USAGE OF HYBRID COMPUTING SYSTEMS [J].

Benkner, Siegfried ;

Pllana, Sabri ;

Traeff, Jesper Larsson ;

Tsigas, Philippas ;

Dolinsky, Uwe ;

Augonnet, Cedric ;

Bachmayer, Beverly ;

Kessler, Christoph ;

Moloney, David ;

Osipov, Vitaly .

IEEE MICRO, 2011, 31 (05) :28-41

[7]

D'Hollander E., 2013, ADV PARALLEL COMPUTI, V24

[8]

Dehnert C, 2014, LECT NOTES COMPUT SC, V8837, P146, DOI 10.1007/978-3-319-11936-6_11

[9] Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers [J].

Diouri, Mohammed El Mehdi ;

Dolz, Manuel F. ;

Glueck, Olivier ;

Lefevre, Laurent ;

Alonso, Pedro ;

Catalan, Sandra ;

Mayo, Rafael ;

Quintana-Orti, Enrique S. .

SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2014, 4 (02) :68-82

[10]

Dokulil Jiri., 2012, CORR

← 1 2 3 4 →