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Article: Scalable Parallel Computers for Real-Time Signal Processing
Title | Scalable Parallel Computers for Real-Time Signal Processing |
---|---|
Authors | |
Keywords | Physics Sound |
Issue Date | 1996 |
Publisher | IEEE. |
Citation | IEEE - Signal Processing Magazine, 1996, v. 13 n. 4, p. 50-66 How to Cite? |
Abstract | We 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 Identifier | http://hdl.handle.net/10722/44840 |
ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 4.896 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hwang, K | en_HK |
dc.contributor.author | Xu, Z | en_HK |
dc.date.accessioned | 2007-10-30T06:11:22Z | - |
dc.date.available | 2007-10-30T06:11:22Z | - |
dc.date.issued | 1996 | en_HK |
dc.identifier.citation | IEEE - Signal Processing Magazine, 1996, v. 13 n. 4, p. 50-66 | en_HK |
dc.identifier.issn | 1053-5888 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/44840 | - |
dc.description.abstract | We 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 | en_HK |
dc.format.extent | 1958785 bytes | - |
dc.format.extent | 2160 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | IEEE Signal Processing Magazine | - |
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. | - |
dc.subject | Physics | en_HK |
dc.subject | Sound | en_HK |
dc.title | Scalable Parallel Computers for Real-Time Signal Processing | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+Processing | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/79.526898 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0030194064 | - |
dc.identifier.hkuros | 27324 | - |
dc.identifier.isi | WOS:A1996UX97700006 | - |
dc.identifier.issnl | 1053-5888 | - |