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Titlebook: Languages and Compilers for Parallel Computing; 7th International Wo Keshav Pingali,Utpal Banerjee,David Padua Conference proceedings 1995

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樓主: KEN
51#
發(fā)表于 2025-3-30 11:05:14 | 只看該作者
52#
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53#
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54#
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55#
發(fā)表于 2025-3-31 03:52:20 | 只看該作者
A new algorithm for global optimization for parallelism and locality,cality. The choice of which loop nests to parallelize, and how, drastically affects data locality. Similarly, data distribution directives, such as DISTRIBUTE in High Performance Fortran (HPF), affects available parallelism and locality. What is needed is a systematic approach to converting programs
56#
發(fā)表于 2025-3-31 07:58:06 | 只看該作者
Polaris: Improving the effectiveness of parallelizing compilers,lelizing compilers may succeed on small kernels, they often fail to extract any meaningful parallelism from large applications. After a study of application codes, it was concluded that by adding a few new techniques to current compilers, automatic parallelization becomes possible. The techniques ne
57#
發(fā)表于 2025-3-31 10:13:00 | 只看該作者
58#
發(fā)表于 2025-3-31 15:26:58 | 只看該作者
The data partitioning graph: Extending data and control dependencies for data partitioning,res. These machines could not be used effectively unless efficient automatic and static solutions to the data partitioning and placement problem become available. Significant progress toward this end has been made in the last few years, but we are still far from having general solutions which are ef
59#
發(fā)表于 2025-3-31 20:22:33 | 只看該作者
60#
發(fā)表于 2025-4-1 00:07:40 | 只看該作者
Minimal data dependence abstractions for loop transformations,Level or the Dependence Cone. These different abstractions have different precision. The . abstraction associated to a transformation is the abstraction that contains the minimal amount of information necessary to decide when such a transformation is legal. The minimal abstractions for loop reorderi
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