MPI and JavaRMI Skeletons for the Branch-and-Bound Technique

机译：MPI和JavaRMI骨架适用于分支定界技术

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摘要

This article proposes a comparison between the MPI and JavaRMI implementation of skeletons for the Branch-and-Bound technique. Concretely, sequential, parallel and distributed generic skeletons to implement this algorithmic technique are presented. The skeletons have been implemented using three different programming languages: C, C++ and Java. Some preliminary computational results for the C and C++ sequential implementation are presented.

机译：本文提出了MPI和JavaRMI框架实现分支和界限技术之间的比较。具体地，提出了实现该算法技术的顺序，并行和分布式通用框架。使用三种不同的编程语言实现了框架：C，C ++和Java。给出了C和C ++顺序实现的一些初步计算结果。

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来源
《Advances in Computational Methods in Sciences and Engineering 2005 vol.4A; Lecture Series on Computer and Computational Sciences; vol.4A》|2005年|175-178|共4页
会议地点 Loutraki(GR)
作者
I. Dorta; C. Leon;
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作者单位

Departamento de Estadistica, I.O. y Computacion, University of La Laguna, E-38271 La Laguna, Tenerife, Spain;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算数学的应用;
关键词
branch-and-bound technique; skeletons; parallelism; distributed algorithms;

机译：分支定界技术骨骼并行性分布式算法;

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3. Efficient branch-and-bound techniques for two-locus association mapping [J] . Karin Klotzbücher, Yasushi Kobayashi, Nino Shervashidze, BMC Bioinformatics . 2011,第SUPPLEMENTa11期

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4. MPI and JavaRMI Skeletons for the Branch-and-Bound Technique [C] . I. Dorta, C. Leon Advances in Computational Methods in Sciences and Engineering 2005 vol.4A; Lecture Series on Computer and Computational Sciences; vol.4A . 2005

机译：MPI和JavaRMI骨架适用于分支定界技术
5. Automatic empirical techniques for developing efficient MPI collective communication routines. [D] . Faraj, Ahmad. 2006

机译：用于开发有效的MPI集体通信例程的自动经验技术。
6. Efficient branch-and-bound techniques for two-locus association mapping [O] . Karin Klotzbücher, Yasushi Kobayashi, Nino Shervashidze, 2011

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7. Efficient branch-and-bound techniques for two-locus association mapping [O] . Karin Klotzbücher, Yasushi Kobayashi, Nino Shervashidze, 2011

机译：用于两位置关联映射的高效分支定界技术

MPI and JavaRMI Skeletons for the Branch-and-Bound Technique

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