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ABSTRACT
Since its introduction over three decades ago, Fortran has been the language of choice for scientific programming for sequential computers. Exploiting the full capability of modern architectures, however, increasingly requires more information than ordinary Fortran 77 or Fortran 90 programs provide. This information applies to such areas as• Opportunities for parallel execution• Type of available parallelism - MIMD, SIMD, or some combination• Allocation of data among individual processor memories• Placement of data within a single processor
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 7
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Ganesh Bikshandi , Jia Guo , Daniel Hoeflinger , Gheorghe Almasi , Basilio B. Fraguela , María J. Garzarán , David Padua , Christoph von Praun, Programming for parallelism and locality with hierarchically tiled arrays, Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming, March 29-31, 2006, New York, New York, USA
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Basilio B. Fraguela , Jia Guo , Ganesh Bikshandi , María J. Garzarán , Gheorghe Almási , José Moreira , David Padua, The Hierarchically Tiled Arrays programming approach, Proceedings of the 7th workshop on Workshop on languages, compilers, and run-time support for scalable systems, p.1-12, October 22-23, 2004, Houston, Texas
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