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Titlebook: Languages, Compilers and Run-Time Systems for Scalable Computers; Boleslaw K. Szymanski,Balaram Sinharoy Book 1996 Springer Science+Busine

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41#
發(fā)表于 2025-3-28 16:37:53 | 只看該作者
M. Ujaldon,E. L. Zapata,B. M. Chapman,H. P. Zima or binding activities. Protein microarrays have a broad application range. As a highly miniaturized assay system they are used to study protein-ligand or protein-protein interaction and used to measure the presence of a target as a diagnostic tool. Q-Dots have interesting electrical and optical pro
42#
發(fā)表于 2025-3-28 22:32:38 | 只看該作者
43#
發(fā)表于 2025-3-29 00:51:01 | 只看該作者
Languages, Compilers and Run-Time Systems for Scalable Computers978-1-4615-2315-4
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發(fā)表于 2025-3-29 06:40:30 | 只看該作者
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發(fā)表于 2025-3-29 09:46:28 | 只看該作者
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發(fā)表于 2025-3-29 12:39:04 | 只看該作者
The Performance Impact of Address Relation Caching,ith that of an implementation which doesn’t cache. The model also predicts speedup and those regimes where a caching implementation never breaks even. The model shows that the effectiveness of caching depends on CPU speed, memory bandwidth and the complexity of the address computation. We verify the
47#
發(fā)表于 2025-3-29 17:42:41 | 只看該作者
Book 1996itional topics are alsodiscussed in the extended abstracts. .Each chapter provides a bibliography of relevant papers and the bookcan thus be used as a reference to the most up-to-date research inparallel software engineering.
48#
發(fā)表于 2025-3-29 23:13:50 | 只看該作者
49#
發(fā)表于 2025-3-30 01:53:13 | 只看該作者
Non-Linear Array Dependence Analysis,olynomial constraints. Analyzing array data dependences in real-world programs requires handling many “unanalyzable” terms: subscript arrays, run-time tests, function calls..The standard approach to analyzing such programs has been to omit and ignore any constraints that cannot be reasoned about. Th
50#
發(fā)表于 2025-3-30 06:07:28 | 只看該作者
Path Collection and Dependence Testing in the Presence of Dynamic, Pointer-Based Data Structures,ritical to data dependence testing, and plays an important role in guiding data distribution. In this paper we present a new approach to path collection that enables general dependence testing, and then demonstrate its importance in parallelizing a real application.
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