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Article: Scalable Parallel Computers for Real-Time Signal Processing

TitleScalable Parallel Computers for Real-Time Signal Processing
Authors
KeywordsPhysics
Sound
Issue Date1996
PublisherIEEE.
Citation
IEEE - Signal Processing Magazine, 1996, v. 13 n. 4, p. 50-66 How to Cite?
AbstractWe assess the state-of-the-art technology in massively parallel processors (MPPs) and their variations in different architectural platforms. Architectural and programming issues are identified in using MPPs for time-critical applications such as adaptive radar signal processing. We review the enabling technologies. These include high-performance CPU chips and system interconnects, distributed memory architectures, and various latency hiding mechanisms. We characterize the concept of scalability in three areas: resources, applications, and technology. Scalable performance attributes are analytically defined. Then we compare MPPs with symmetric multiprocessors (SMPs) and clusters of workstations (COWs). The purpose is to reveal their capabilities, limits, and effectiveness in signal processing. We evaluate the IBM SP2 at MHPCC, the Intel Paragon at SDSC, the Gray T3D at Gray Eagan Center, and the Gray T3E and ASCI TeraFLOP system proposed by Intel. On the software and programming side, we evaluate existing parallel programming environments, including the models, languages, compilers, software tools, and operating systems. Some guidelines for program parallelization are provided. We examine data-parallel, shared-variable, message-passing, and implicit programming models. Communication functions and their performance overhead are discussed. Available software tools and communication libraries are also introduced
Persistent Identifierhttp://hdl.handle.net/10722/44840
ISSN
2015 Impact Factor: 6.671
2015 SCImago Journal Rankings: 3.413
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHwang, Ken_HK
dc.contributor.authorXu, Zen_HK
dc.date.accessioned2007-10-30T06:11:22Z-
dc.date.available2007-10-30T06:11:22Z-
dc.date.issued1996en_HK
dc.identifier.citationIEEE - Signal Processing Magazine, 1996, v. 13 n. 4, p. 50-66en_HK
dc.identifier.issn1053-5888en_HK
dc.identifier.urihttp://hdl.handle.net/10722/44840-
dc.description.abstractWe assess the state-of-the-art technology in massively parallel processors (MPPs) and their variations in different architectural platforms. Architectural and programming issues are identified in using MPPs for time-critical applications such as adaptive radar signal processing. We review the enabling technologies. These include high-performance CPU chips and system interconnects, distributed memory architectures, and various latency hiding mechanisms. We characterize the concept of scalability in three areas: resources, applications, and technology. Scalable performance attributes are analytically defined. Then we compare MPPs with symmetric multiprocessors (SMPs) and clusters of workstations (COWs). The purpose is to reveal their capabilities, limits, and effectiveness in signal processing. We evaluate the IBM SP2 at MHPCC, the Intel Paragon at SDSC, the Gray T3D at Gray Eagan Center, and the Gray T3E and ASCI TeraFLOP system proposed by Intel. On the software and programming side, we evaluate existing parallel programming environments, including the models, languages, compilers, software tools, and operating systems. Some guidelines for program parallelization are provided. We examine data-parallel, shared-variable, message-passing, and implicit programming models. Communication functions and their performance overhead are discussed. Available software tools and communication libraries are also introduceden_HK
dc.format.extent1958785 bytes-
dc.format.extent2160 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectPhysicsen_HK
dc.subjectSounden_HK
dc.titleScalable Parallel Computers for Real-Time Signal Processingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-5888&volume=13&issue=4&spage=50&epage=66&date=1996&atitle=Scalable+Parallel+Computers+for+Real-Time+Signal+Processingen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/79.526898en_HK
dc.identifier.scopuseid_2-s2.0-0030194064-
dc.identifier.hkuros27324-
dc.identifier.isiWOS:A1996UX97700006-

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