Abstract.
This paper proposes a new software architecture framework, named FIBER, to generalize auto-tuning facilities and obtain highly accurate estimated parameters. The FIBER framework also provides a loop unrolling function, needing code generation and parameter registration processes, to support code development by library developers. FIBER has three kinds of parameter optimization layers–installation, before execution-invocation, and run-time. An eigensolver parameter to apply the FIBER framework is described and evaluated in three kinds of parallel computers; the HITACHI SR8000/MPP, Fujitsu VPP800/63, and Pentium4 PC cluster. Evaluation indicated a 28.7% speed increase in the computation kernel of the eigensolver with application of the new optimization layer of before execution-invocation.
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Katagiri, T., Kise, K., Honda, H., Yuba, T. (2003). FIBER: A Generalized Framework for Auto-tuning Software. In: Veidenbaum, A., Joe, K., Amano, H., Aiso, H. (eds) High Performance Computing. ISHPC 2003. Lecture Notes in Computer Science, vol 2858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39707-6_11
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DOI: https://doi.org/10.1007/978-3-540-39707-6_11
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