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Titlebook: Languages and Compilers for Parallel Computing; 16th International W Lawrence Rauchwerger Conference proceedings 2004 Springer-Verlag Berli

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0302-9743 , data locality, parallel languages, high-level transformations, embedded systems, distributed systems software, low-level transformations, compiling for novel architectures, and optimization infrastructure..978-3-540-21199-0978-3-540-24644-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Adapting Convergent Scheduling Using Machine-Learning,is predicated upon characteristics of the program being compiled. In particular, we implemented a few tests on the present state of the code being compiled. We are able to find improved sequences for a range of clustered architectures. These sequences were tested with cross-validation, and generally outperform Desoli’s PCC and UAS.
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Memory-Constrained Data Locality Optimization for Tensor Contractions,s. We develop an optimization framework to search among a space of fusion and tiling choices to minimize the data movement overhead. The effectiveness of the developed optimization approach is demonstrated on a computation representative of a component used in quantum chemistry suites.
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Index-Association Based Dependence Analysis and its Application in Automatic Parallelization,an be used in traditional dependence analysis techniques targeting subscripts which are linear forms of enclosing loop indices. We also show how our advanced dependence analysis technique can help parallelize some otherwise hard-to-parallelize loops.
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