COMPOSE-HPC: A Transformational Approach to Exascale

Technical Report · Sun Apr 01 00:00:00 EDT 2012

DOI:https://doi.org/10.2172/1039242· OSTI ID:1039242

Bernholdt, David E ^[1]; Allan, Benjamin A. ^[2]; Armstrong, Robert C. ^[2]; Chavarria-Miranda, Daniel ^[3]; Dahlgren, Tamara L. ^[4]; Elwasif, Wael R ^[1]; Epperly, Tom ^[4]; Foley, Samantha S ^[1]; Hulette, Geoffrey C. ^[2]; Krishnamoorthy, Sriram ^[3]; Prantl, Adrian ^[4]; Panyala, Ajay ^[5]; Sottile, Matthew ^[6]

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1. ORNL
2. Sandia National Laboratories (SNL)
3. Pacific Northwest National Laboratory (PNNL)
4. Lawrence Livermore National Laboratory (LLNL)
5. Louisiana State University
6. Galois, Inc.

The goal of the COMPOSE-HPC project is to 'democratize' tools for automatic transformation of program source code so that it becomes tractable for the developers of scientific applications to create and use their own transformations reliably and safely. This paper describes our approach to this challenge, the creation of the KNOT tool chain, which includes tools for the creation of annotation languages to control the transformations (PAUL), to perform the transformations (ROTE), and optimization and code generation (BRAID), which can be used individually and in combination. We also provide examples of current and future uses of the KNOT tools, which include transforming code to use different programming models and environments, providing tests that can be used to detect errors in software or its execution, as well as composition of software written in different programming languages, or with different threading patterns.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 1039242
• Report Number(s): ORNL/TM-2012/85; KJ0402000; ERKJU68; TRN: US201209%%522
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
OPTIMIZATION
PRODUCTIVITY
PROGRAMMING
PROGRAMMING LANGUAGES
TRANSFORMATIONS