An Algebraic Theory for Formulating Parallel Prefix Algorithms

碩士 === 國立東華大學 === 資訊工程學系 === 87 === We employ a methodology to solving parallel prefix problems by using a tensor product notation. Tensor product notation is suitable to express block-recursive algorithms, data distribution, and interconnection networks. Tensor product operations can be...

Full description

Bibliographic Details
Main Authors: Jei-Zhii Lee, 李介志
Other Authors: Huang C.-H.
Format: Others
Language:en_US
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/19356118370395414703
id ndltd-TW-087NDHU0392016
record_format oai_dc
spelling ndltd-TW-087NDHU03920162016-07-11T04:14:08Z http://ndltd.ncl.edu.tw/handle/19356118370395414703 An Algebraic Theory for Formulating Parallel Prefix Algorithms 一個平行前序演算法的代數公式理論 Jei-Zhii Lee 李介志 碩士 國立東華大學 資訊工程學系 87 We employ a methodology to solving parallel prefix problems by using a tensor product notation. Tensor product notation is suitable to express block-recursive algorithms, data distribution, and interconnection networks. Tensor product operations can be mapped into corresponding programming constructs. Hence, it provides a framework of designing and implementing parallel programs. In this paper, a parallel prefix algorithm is specified as a tensor product formula which is then translated into parallel programs for various computer architectures. These architectures may include vector processors, shared-memory multiprocessors, and distributed-memory multiprocessors. Huang C.-H. 黃秋煌 1999 學位論文 ; thesis 61 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立東華大學 === 資訊工程學系 === 87 === We employ a methodology to solving parallel prefix problems by using a tensor product notation. Tensor product notation is suitable to express block-recursive algorithms, data distribution, and interconnection networks. Tensor product operations can be mapped into corresponding programming constructs. Hence, it provides a framework of designing and implementing parallel programs. In this paper, a parallel prefix algorithm is specified as a tensor product formula which is then translated into parallel programs for various computer architectures. These architectures may include vector processors, shared-memory multiprocessors, and distributed-memory multiprocessors.
author2 Huang C.-H.
author_facet Huang C.-H.
Jei-Zhii Lee
李介志
author Jei-Zhii Lee
李介志
spellingShingle Jei-Zhii Lee
李介志
An Algebraic Theory for Formulating Parallel Prefix Algorithms
author_sort Jei-Zhii Lee
title An Algebraic Theory for Formulating Parallel Prefix Algorithms
title_short An Algebraic Theory for Formulating Parallel Prefix Algorithms
title_full An Algebraic Theory for Formulating Parallel Prefix Algorithms
title_fullStr An Algebraic Theory for Formulating Parallel Prefix Algorithms
title_full_unstemmed An Algebraic Theory for Formulating Parallel Prefix Algorithms
title_sort algebraic theory for formulating parallel prefix algorithms
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/19356118370395414703
work_keys_str_mv AT jeizhiilee analgebraictheoryforformulatingparallelprefixalgorithms
AT lǐjièzhì analgebraictheoryforformulatingparallelprefixalgorithms
AT jeizhiilee yīgèpíngxíngqiánxùyǎnsuànfǎdedàishùgōngshìlǐlùn
AT lǐjièzhì yīgèpíngxíngqiánxùyǎnsuànfǎdedàishùgōngshìlǐlùn
AT jeizhiilee algebraictheoryforformulatingparallelprefixalgorithms
AT lǐjièzhì algebraictheoryforformulatingparallelprefixalgorithms
_version_ 1718344467081068544