可扩展并行计算--技术、结构与编程 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


可扩展并行计算--技术、结构与编程

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黄铠 作者
机械工业出版社
译者
1999-05 出版日期
802 页数
69.00 价格
平装
计算机科学丛书 丛书系列
9787111071761 图书编码

可扩展并行计算--技术、结构与编程 在线电子书 图书标签: 计算机  系统机构  并行编程  可扩展  scalable  programming  parallel  paradigms   


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可扩展并行计算--技术、结构与编程 在线电子书 著者简介

About the Authors

Kai Hwang presently holds a Chair Professor of Computer Engineering at the

Universityof Hong Kong (HKU), while taking a research leave from the University of

Southem Califomia (USC). He has been engaged in higher education and computer

research for 26 years, after eaming the Ph.D. in Electrical Engineering and Computer

Science from the University ofCalifornia at Berkeley. His work on this book started at the

USC and was mostly completed at the HKU.

An lEEE Feilow,he has published extensively in the areas ofcomputer architecture,

digital arithmetic, parallel processing, and distributed computing. He is the founding

Editor-in-Chiefof the Jownal ofParallelandDistributed Computing. He has chaired the

intemational confeaeoces: lCPP86, ARITH-7, IPP96, ICAPP 96, and HPCA-4 in 1998.

He has received several achicvement awards for butstanding research and academic con-

tributions to the field of parallel computing.

He has lectured worldwide and perrtormed consulting and advisory work for US

Nationai Academy of SciencesMIT Lincoln Laboratory, IBM Fishkill, TriTech in

Singapore, Pujitsu and ETL in Japan, GMD in Germany, CERN Schoolof Computing,

and Academia Sinica in Chiria. Presently, he leads a research group at HKU in developing

aan ATM-based multicomputer cluster for high-performance computing and distributed

multimedia, Intranet, ahd Intemet appliCations.

Zhiwei Xu is a Professor and ChiefArchitect at the National Center for Intelligent

Computing Systems (NClC), Chinese Academy ofSciences, Beijing, China. He is also a

Honorary Research Fellow ofHKU. He received a Ph.D. in Computer Engineering from

the University of Southem Califomia. He participated in the STAP/MPP benchmark

projects led by Dr. Hwang at USC and HKU during the past 5 years.

He has taught at the Rutgers University and New Yotk Polytechnfc University. He

has published in theareas of parallet languages, pipelined vector processmg, and

benchmard evaluation ofmassively parallel processors. Presently, he leads a design group

at NClC in building a series of cluster-based superservers in China. His current research

interest lies mainly in network-based cluster computing and the software environments for

parallel programming.


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