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Titlebook: Languages and Compilers for Parallel Computing; 6th International Wo Utpal Banerjee,David Gelernter,David Padua Conference proceedings 1994

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樓主: advocate
11#
發(fā)表于 2025-3-23 11:59:24 | 只看該作者
Arbitrary order operations on trees,earches, and deletes on most forms of balanced and unbalanced binary trees. We show that this new algorithm, . is correct and produces execution schedules which are at least as parallel as other techniques including locking and graph coloring based interference. We also show some estimate of the performance on a sample computation, AVL trees.
12#
發(fā)表于 2025-3-23 17:27:11 | 只看該作者
13#
發(fā)表于 2025-3-23 20:18:53 | 只看該作者
14#
發(fā)表于 2025-3-23 22:42:02 | 只看該作者
Program transformation for locality using affinity regions,ship between affinity regions and global optimization for parallelism and locality. The algorithms in this paper are being implemented in the parallelization tool, PAT, targeted at generating of affinity regions for the KSR-1.
15#
發(fā)表于 2025-3-24 03:07:34 | 只看該作者
16#
發(fā)表于 2025-3-24 09:35:41 | 只看該作者
0302-9743 op washosted by the OregonGraduate Institute of Science and Technology. All themajorresearch efforts in parallel languages and compilersarerepresented in this workshop series.The 36 papers in the volume aregrouped under nine headings:dynamic data structures, parallel languages, HighPerformance Fortr
17#
發(fā)表于 2025-3-24 14:30:48 | 只看該作者
18#
發(fā)表于 2025-3-24 16:02:28 | 只看該作者
19#
發(fā)表于 2025-3-24 22:59:07 | 只看該作者
Toward a compile-time methodology for reducing false sharing and communication traffic in shared vieloped for identifying and eliminating page-level sharing between processors at compile-time. Loop nests of one and two dimensions (before blocking) with single-level doall style parallelism are discussed.
20#
發(fā)表于 2025-3-25 01:35:59 | 只看該作者
On automatic data structure selection and code generation for sparse computations, every dense matrix that in fact is sparse, the original code is adapted to operate on these data structures. This simplifies the task of the programmer and, in general, enables the compiler to apply more optimizations.
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