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...
Main Authors: | , |
---|---|
Other Authors: | |
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 |