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Graph Partitioning Models for Parallel Computing;Parallel Computing

机译：并行计算的图分区模型;并行计算

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摘要

Calculations can naturally be described as graphs in which vertices represent computation and edges reflect data dependencies. By partitioning the vertices of a graph, the calculation can be divided among processors of a parallel computer. However, the standard methodology for graph partitioning minimizes the wrong metric and lacks expressibility. We survey several recently proposed alternatives and discuss their relative merits.

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Hendrickson, B. ; Kolda, T. G.;
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年度 1999
页码 1-20
总页数 20
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Parallel processing(Computers); Graph theory; Computer models; Mathematical models; Parallel computers; Parallel processors;

机译：并行处理（计算机）;图论;计算机模型;数学模型;并行计算机;并行处理器;

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专利

1. Graph partitioning models for parallel computing [J] . Bruce Hendrickson, Tamara G. Kolda Parallel Computing . 2000,第12期

机译：用于并行计算的图分区模型
2. A multi-objective hypergraph partitioning model for parallel computing [J] . Yonggang Ma, Guozhen Tan, Wei Wang International Journal of Parallel, Emergent and Distributed Systems . 2012,第4期

机译：用于并行计算的多目标超图划分模型
3. NORMAN MATLOFF . Parallel Computing for Data Science: With Examples in R, C++, and CUDA . Boca Raton : CRC Press . NORMAN MATLOFF NORMAN MATLOFF . Parallel Computing for Data Science: With Examples in R, C++, and CUDA Parallel Computing for Data Science: With Examples in R, C++, and CUDA . Boca Raton Boca Raton : CRC Press CRC Press . [J] . Eddelbuettel Dirk Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2018,第2期

机译：Norman Matloff。数据科学的并行计算：在R，C ++和CUDA中使用示例。 Boca Raton：CRC压力机。 Norman Matloff Norman Matloff。数据科学的并行计算：使用R，C ++和CUDA的示例进行数据科学：R，C ++和CUDA中的示例。 Boca Raton Boca Raton：CRC按CRC压力机。
4. Hypergraph Partitioning Implementation for Parallelizing Matrix-Vector Multiplication Using CUDA GPU-Based Parallel Computing [C] . Murni, A. Bustamam, Ernastuti, International Symposium on Current Progress in Mathematics and Sciences . 2017

机译：基于CUDA GPU的并行计算并行化矩阵矢量乘法的超图分区实现
5. Parallelizing matrix -oriented computing applications on reconfigurable computing fabrics: Methodology and architecture. [D] . Akella, Sreesa. 2006

机译：可重配置计算结构上的面向矩阵的并行计算应用程序：方法和体系结构。
6. Preoperative Estimation of Endodontic Working Length with Cone-Beam Computed Tomography and Standardized Paralleling Technique in comparison to Its Real Length [O] . Bestoon Mohammed Faraj 2020

机译：锥形束计算机断层扫描和标准化平行技术的术前估计与其真实长度相比
7. Graph Partitioning Models for Parallel Computing [O] . Bruce Hendrickson, Tamara G. Kolda 2000

机译：用于并行计算的图分区模型

Graph Partitioning Models for Parallel Computing;Parallel Computing

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