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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (2007)
Brasov, Romania
Sept. 15, 2007 to Sept. 19, 2007
ISSN: 1089-795X
ISBN: 0-7695-2944-5
pp: 317-326
Mark J. Murphy , University of Illinois at Urbana-Champaign, USA
Nacho Navarro , Universitat Politecnica de Catalunya, Spain
Steve Lumetta , University of Illinois at Urbana-Champaign, USA
Isaac Gelado , Universitat Politecnica de Catalunya, Spain
Wen-mei Hwu , University of Illinois at Urbana-Champaign, USA
John H. Kelm , University of Illinois at Urbana-Champaign, USA
ABSTRACT
We present CIGAR, a methodology and development platform that facilitates the use of data-parallel coprocessors. With CIGAR, application developers use profiling tools to identify parts of the application for data-parallel execution, determine the application data structures to be hosted by the coprocessor, prototype coprocessor execution of these parts, and debug correctness of partitioned execution of the application using emulation. <p>The CIGAR methodology is complemented by a CPU/FPGA prototyping platform that runs a fully functional version of the Linux operating system and associated development tools and libraries. To guide the development of our work and to evaluate its utility, we have instrumented SPECint2006 applications to utilize coprocessors emulated by softcore processors embedded in our prototyping platform. Examples of how a developer would use CIGAR to partition an application for a heterogeneous CPU/coprocessor environment are demonstrated.</p>
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CITATION
Mark J. Murphy, Nacho Navarro, Steve Lumetta, Isaac Gelado, Wen-mei Hwu, John H. Kelm, "CIGAR: Application Partitioning for a CPU/Coprocessor Architecture", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 317-326, 2007, doi:10.1109/PACT.2007.21
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