The International Exascale Software Project roadmap

Author:

Dongarra Jack1,Beckman Pete2,Moore Terry2,Aerts Patrick2,Aloisio Giovanni2,Andre Jean-Claude2,Barkai David2,Berthou Jean-Yves2,Boku Taisuke2,Braunschweig Bertrand2,Cappello Franck2,Chapman Barbara2,Xuebin Chi 2,Choudhary Alok2,Dosanjh Sudip2,Dunning Thom2,Fiore Sandro2,Geist Al2,Gropp Bill2,Harrison Robert2,Hereld Mark2,Heroux Michael2,Hoisie Adolfy2,Hotta Koh2,Zhong Jin 2,Ishikawa Yutaka2,Johnson Fred2,Kale Sanjay2,Kenway Richard2,Keyes David2,Kramer Bill2,Labarta Jesus2,Lichnewsky Alain2,Lippert Thomas2,Lucas Bob2,Maccabe Barney2,Matsuoka Satoshi2,Messina Paul2,Michielse Peter2,Mohr Bernd2,Mueller Matthias S.2,Nagel Wolfgang E.2,Nakashima Hiroshi2,Papka Michael E2,Reed Dan2,Sato Mitsuhisa2,Seidel Ed2,Shalf John2,Skinner David2,Snir Marc2,Sterling Thomas2,Stevens Rick2,Streitz Fred2,Sugar Bob2,Sumimoto Shinji2,Tang William2,Taylor John2,Thakur Rajeev2,Trefethen Anne2,Valero Mateo2,van der Steen Aad2,Vetter Jeffrey2,Williams Peg2,Wisniewski Robert2,Yelick Kathy2

Affiliation:

1. University of Tennessee at Knoxville, USA,

2. University of Tennessee at Knoxville, USA

Abstract

Over the last 20 years, the open-source community has provided more and more software on which the world’s high-performance computing systems depend for performance and productivity. The community has invested millions of dollars and years of effort to build key components. However, although the investments in these separate software elements have been tremendously valuable, a great deal of productivity has also been lost because of the lack of planning, coordination, and key integration of technologies necessary to make them work together smoothly and efficiently, both within individual petascale systems and between different systems. It seems clear that this completely uncoordinated development model will not provide the software needed to support the unprecedented parallelism required for peta/ exascale computation on millions of cores, or the flexibility required to exploit new hardware models and features, such as transactional memory, speculative execution, and graphics processing units. This report describes the work of the community to prepare for the challenges of exascale computing, ultimately combing their efforts in a coordinated International Exascale Software Project.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference16 articles.

1. Department of Energy (2008a) Challenges in Climate Change Science and the Role of Computing at the Extreme Scale. Washington, DC: Department of Energy, 98.

2. Department of Energy (2008b) Scientific Challenges for Understanding the Quantum Universe and the Role of Computing at Extreme Scale - Summary Report. Menlo Park, CA: Department of Energy, 129.

3. Department of Energy (2009b) Cross-cutting Technologies for Computing at the Exascale. Washington, DC: Department of Energy, 99.

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