Titlebook: Compiler Construction; 17th International C Laurie Hendren Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2008 Byte.Bytecode

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Automatic Transformations for Communication-Minimized Parallelization and Locality Optimization in tear Programming formulation. These tiling hyperplanes are used for communication-minimized coarse-grained parallelization as well as for locality optimization. The approach enables the minimization of inter-tile communication volume in the processor space, and minimization of reuse distances for loc

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Efficiency, Precision, Simplicity, and Generality in Interprocedural Data Flow Analysis: Resurrectine size of the lattice to linear. Further, unlike the classical method, this worst case length need not be reached. Our approach retains the precision, generality, and simplicity of call strings method without imposing any additional constraints. It can accommodate demand-driven approximations and he

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Efficient Context-Sensitive Shape Analysis with Graph Based Heap Modelsues we introduce are able to handle these features while significantly improving the effectiveness of memoizing analysis results (and thus improving analysis performance). Using a range of well known benchmarks (many of which have not been successfully analyzed using other existing shape analysis me

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https://doi.org/10.1007/978-1-4842-2571-4ation for only 29% of indirect uses and 33% of indirect defs. However, using the technique described in this paper, the algorithm recovered useful information for 81% of indirect uses and 90% of indirect defs.

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https://doi.org/10.1007/978-1-4612-2346-7ution and multipass partitioning. Our prototype targets GPUs. On GPUs the memory system is deeply pipelined and caches for read and write are not coherent, so reads and writes may not use the same memory locations simultaneously. This requires the use of double-buffered streaming. We emulate general

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https://doi.org/10.1007/978-3-663-05489-4ear Programming formulation. These tiling hyperplanes are used for communication-minimized coarse-grained parallelization as well as for locality optimization. The approach enables the minimization of inter-tile communication volume in the processor space, and minimization of reuse distances for loc

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