Global Data Distribution for Distributed Memory Machine

Abstract

Abstract: In this thesis a newly framework for global data distribution is presented,namely multi-node data distribution analysis(MDDA).With the analysis of loop and array,MDDA creates and simplifies global data distribution model by ADPG and MDG.

摘要： 提出了一种全新的全局数据分布分析框架——多节点分布分析,它以数组引用和循环为分析对象,以ADPG为基础,MDG为核心,数组关联为纽带,把全局分布分析转化为分层次的节点间分布分析,通过0-1规划求解,建立并极大地简化了全局数据分布模型。

关键词: 数据分布, 全局分布分析, 过程间分布分析, 多节点分布分析

CLC Number:

TP311.13

TANG Daguo,SONG Yongshen. Global Data Distribution for Distributed Memory Machine[J]. , 2005, 31(22): 52-.

唐大国,宋永生. 面向分布存储系统的全局数据分布[J]. , 2005, 31(22): 52-.

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URL: https://www.ecice06.com/EN/Y2005/V31/I22/52

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