Abstract
Multiprocessor systems are increasingly being used to handle large-scale scientific applications that demand high-performance. However, performance analysis is not as mature for multiprocessor systems as for uniprocessor systems, and improved ways of automatic performance analysis are needed to reduce the cost and complexity of developing distributed/ parallel applications. Performance analysis is commonly a cyclic process of measuring and analyzing performance data, identifying and possibly eliminating performance bottlenecks in slow progression. Currently this process is controlled manually by the programmer. We believe that the implicit knowledge applied in this cyclic process should be formalized in order to provide automatic performance analysis for a wider class of programming paradigms and target architectures. This article describes the performance property specification language (ASL) developed in the APART Esprit IV working group which allows specifying performance-related data by an object-oriented model and performance properties by functions and constraints defined over performance-related data. Performance problems and bottlenecks can then be identified based on user- or tool-defined thresholds. In order to demonstrate the usefulness of ASL we apply it to HPF (High Performance Fortran) by successfully formalizing several HPF performance properties.
The ESPRIT IV Working Group on Automatic Performance Analysis: Resources and Tools is funded under Contract No.29488
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Fahringer, T., Gerndt, M., Riley, G., Larsson Träff, J. (2000). On Performance Modeling for HPF Applications with ASL. In: Valero, M., Joe, K., Kitsuregawa, M., Tanaka, H. (eds) High Performance Computing. ISHPC 2000. Lecture Notes in Computer Science, vol 1940. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39999-2_17
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DOI: https://doi.org/10.1007/3-540-39999-2_17
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