聋子
发表于 2025-3-25 06:47:59
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狗舍
发表于 2025-3-25 09:29:13
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bronchiole
发表于 2025-3-25 14:29:25
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Cumbersome
发表于 2025-3-25 17:06:16
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重力
发表于 2025-3-25 23:17:08
Scalable Desktop Grid Systemids connect all PCs into a flat hierarchy, that is, all computers to a central server. SZTAKI Desktop Grid starts from a standalone desktop grid, as a building block. It is extended to include clusters displaying as single powerful PCs, while using their local resource management system. Such buildi
radiograph
发表于 2025-3-26 03:09:24
Analyzing Overheads and Scalability Characteristics of OpenMP Applicationsnfortunately, few tools are available that allow an exact quantification of Open-MP related overheads and scalability characteristics. We present a methodology in which we define four overhead categories that we can quantify exactly and describe a tool that implements this methodology. We evaluate o
misshapen
发表于 2025-3-26 05:22:23
Parallel Fuzzy c-Means Cluster Analysislculation of clusters’ centers with the degrees of membership of records to clusters, and the determination of the optimal number of clusters for the data, by using the PBM validity index to evaluate the quality of the partition..The work’s main contributions are the implementation of the entire clu
senile-dementia
发表于 2025-3-26 09:29:26
Peer-to-Peer Models for Resource Discovery in Large-Scale Grids: A Scalable Architectureprovide Grid scalability is to adopt . (.) models to implement non hierarchical decentralized Grid services and systems. A core Grid functionality that can be effectively redesigned using the P2P approach is .. This paper proposes a P2P resource discovery architecture aiming to manage various Grid r
TEM
发表于 2025-3-26 14:31:35
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Leaven
发表于 2025-3-26 18:34:06
Aspect Oriented Pluggable Support for Parallel Computinglement group communication mechanisms on parallel applications. In our approach, parallelisation code is developed by composing the collection into the application core functionality. The approach requires fewer changes to sequential applications to parallelise the core functionality than current al