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Parallel Digital Signal Processing by Fernando Silva (27 results)
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study (Hardback or Cased Book)
Language: English
Published by Hutson Street Press 5/22/2025, 2025
ISBN 10: 1025091981 ISBN 13: 9781025091983
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study: Space-Time Adaptive Processing (Paperback or Softback)
Language: English
Published by Biblioscholar 10/9/2012, 2012
ISBN 10: 1249596009 ISBN 13: 9781249596004
Paperback or Softback. Condition: New. Parallel Digital Signal Processing on a Network of Personal Computers Case Study: Space-Time Adaptive Processing. Book.
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
Language: English
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025096320 ISBN 13: 9781025096322
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025096320 ISBN 13: 9781025096322
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
Language: English
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025091981 ISBN 13: 9781025091983
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025096320 ISBN 13: 9781025096322
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025091981 ISBN 13: 9781025091983
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Parallel Digital Signal Processing on a Network of Personal Computers Case Study
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025091981 ISBN 13: 9781025091983
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Add to basketPaperback. Condition: new. Paperback. Network-based parallel computing using personal computers is currently a popular choice for concurrent scientific computing. This work evaluates the capabilities and the performance of the AFIT Bimodal Cluster (ABC) - a heterogeneous cluster of PCs connected by switched fast Ethernet and using MPICH 1.1 for interprocess communication - for parallel digital signal processing using Space-Time Adaptive Processing (STAP) as the case study. The MITRE RT_STAP Benchmark version 1.1 is ported and executed on the ABC, as well as on a cluster of six Sun SPARC workstations connected by a Myrinet network (the AFIT NOW), and on a IBM SP for comparison. Modifications to the RT_STAP benchmark source code are done to accommodate the BLAS routines obtained from the ASCI Red project and the FFTPACK from the Netlib repository. Comparative performance analysis of the original and modified versions of the benchmarks executed on the ABC running the LINUX OS is performed, and shows improvements in the sustained Gflop/sec rates. Inter-platform comparative analysis demonstrates ABC's superior computation rates, but also reveals limited machine scalability as a result of severe communication overheads imposed by RT_STAP cornerturn operations. Analysis of experimental data indicates that ABC outperforms AFIT NOW but needs interconnection network improvements to be globally competitive to MPPs such as the IBM SP.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Print on Demand pp. 190.
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Add to basketHardcover. Condition: new. Hardcover. Network-based parallel computing using personal computers is currently a popular choice for concurrent scientific computing. This work evaluates the capabilities and the performance of the AFIT Bimodal Cluster (ABC) - a heterogeneous cluster of PCs connected by switched fast Ethernet and using MPICH 1.1 for interprocess communication - for parallel digital signal processing using Space-Time Adaptive Processing (STAP) as the case study. The MITRE RT_STAP Benchmark version 1.1 is ported and executed on the ABC, as well as on a cluster of six Sun SPARC workstations connected by a Myrinet network (the AFIT NOW), and on a IBM SP for comparison. Modifications to the RT_STAP benchmark source code are done to accommodate the BLAS routines obtained from the ASCI Red project and the FFTPACK from the Netlib repository. Comparative performance analysis of the original and modified versions of the benchmarks executed on the ABC running the LINUX OS is performed, and shows improvements in the sustained Gflop/sec rates. Inter-platform comparative analysis demonstrates ABC's superior computation rates, but also reveals limited machine scalability as a result of severe communication overheads imposed by RT_STAP cornerturn operations. Analysis of experimental data indicates that ABC outperforms AFIT NOW but needs interconnection network improvements to be globally competitive to MPPs such as the IBM SP.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Print on Demand pp. 190.
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Condition: New. PRINT ON DEMAND pp. 190.
