The international exascale software project: A call to cooperative action by the global high-performance community

International Journal of High Performance Computing Applications

Volumn 23, Issue 4, 2009, Pages 309-322

  Dongarra, Jack ^a   Beckman, Pete ^b   Aerts, Patrick ^c   Cappello, Frank ^d   Lippert, Thomas ^e   Matsuoka, Satoshi ^f   Messina, Paul ^b   Moore, Terry ^a   Stevens, Rick ^g   Trefethen, Anne ^h   Valero, Mateo ⁱ  

^a University of Tennessee   (United States)

^b ARGONNE NATIONAL LABORATORY   (United States)

^c Netherlands Organization for Scientific Research   (Netherlands)

^d INRIA   (France)

^e Institute for Advanced Simulation   (Germany)

^f TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^g ARGONNE NATIONAL LABORATORY   (United States)

^h UNIVERSITY OF OXFORD   (United Kingdom)

ⁱ UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Applications; Exascale; International; Scientific computing; Software

Indexed keywords

DEVELOPMENT MODEL; DISCUSSION LISTS; EXASCALE; HARDWARE MODELS; HIGH PERFORMANCE COMPUTING SYSTEMS; KEY COMPONENT; OPEN SOURCE DEVELOPMENT; OPEN-SOURCE; PETASCALE; SCIENTIFIC COMPUTING SOFTWARE; SOFTWARE ELEMENTS; SOFTWARE ENVIRONMENTS; SOFTWARE PROJECT; SPECULATIVE EXECUTION; TRANSACTIONAL MEMORY;

INVESTMENTS; PRODUCTIVITY; PROGRAM PROCESSORS;

COMPUTER SCIENCE;

EID: 70450159193     PISSN: 10943420     EISSN: 17412846     Source Type: Journal    
DOI: 10.1177/1094342009347714     Document Type: Article

References (12)

1. Anderson, E. et al. (1999). LAPACK User's Guide, 3rd edn. Philadelphia, PA: Society for Industrial and Applied Mathematics.
2. Berman, F. et al. (2001). The GrADS Project: Software Support for High Level Grid Application Development. Int. J. High Perform. Appl. Supercomput. 15(4):327-344.
3. Blackford, S. et al. (1997). ScaLAPACK User's Guide. Philidelphia, PA: Society for Industrial and Applied Mathematics.
4. Kogge, P.M. et al. (2008). ExaScale Computing Study: Technology Challenges in Achieving Exascale Systems. Washington, DC: DARPA Information Processing Techniques Office, 28 September 2008.
5. Moore, S.K. (2008). Multicore is Bad News for Supercomputers. IEEE Spectrum Online.
6. Murphy, R.C. (2007). On the Effects of Memory Latency and Bandwidth on Supercomputer Application Performance. In IEEE 10th International Symposium on Workload Characterization (IISWC 2007), pp. 35-43.
7. NRC (2008). The Potential Impact of High-End Capability Computing on Four Illustrative Fields of Science and Engineering. Washington, DC: National Research Council Committee on the Potential Impact of High-End Computing on Illustrative Fields of Science and Engineering.
8. Petitet, A. et al. (2001). Numerical Libraries and the Grid: The GrADS Experiments with ScaLAPACK. Int. J. High Perform. Appl. Supercomput. 15(4):359-374.
9. Snir, M. et al. (1998). MPI: The Complete Reference, Volume 1, The MPI Core, 2nd edition. Boston, MA: MIT Press.
10. Stevens, R., Zacharia, T. and Simon, H. (2008). Modeling and Simulation at the Exascale for Energy and the Environment report, Department of Energy Office of Advance Scientific Computing Research. Washington DC, http://www.sc.doe.gov/ascr/ProgramDocuments/Docs/TownHall.pdf.
11. Vadhiyar, S., Dongarra, J. and YarKhan, A. (2003). GrAD-Solve-RPC for High Performance Computing on the Grid. In 9th International Euro-Par Conference, Klagenfurt, Austria, 2003.
12. Whaley, R., Petitet, A. and Dongarra, J. (2001). Automated Empirical Optimization of Software and the ATLAS Project. Parallel Comput. 27(1-2):3-25.