Hardware Acceleration Eda Algorithms by Khatri Sunil (26 results)

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  • Language: English

    Published by Springer, 2010

    1441909435 / 9781441909435

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    gebundene Ausgabe. Condition: Gut. 192 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Text in ENGLISCHER Sprache! Sprache: Englisch Gewicht in Gramm: 480.

  • Language: English

    Published by Springer, 2010

    1441909435 / 9781441909435

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    Condition: New. In English.

  • Language: English

    Published by Springer, 2010

    1441909435 / 9781441909435

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  • Language: English

    Published by Springer, 2010

    1441909435 / 9781441909435

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  • Language: English

    Published by Springer, 2014

    1489983333 / 9781489983336

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  • Language: English

    Published by Springer, 2010

    1441909435 / 9781441909435

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    Condition: New. pp. 216.

  • Language: English

    Published by Springer Nature B.V., 2010

    1441909435 / 9781441909435

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    Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This text covers the acceleration of EDA algorithms using hardware platforms such as FPGAs and GPUs. In it, widely applied CAD algorithms are evaluated and compared for potential acceleration on FPGAs and GPUs.

  • Language: English

    Published by Springer, 2014

    1489983333 / 9781489983336

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  • Language: English

    Published by Springer Us, 2010

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Single-threaded software applications have ceased to see signi cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs.

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    Language: English

    Published by Springer, 2014

    1489983333 / 9781489983336

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    Taschenbuch. Condition: Neu. Hardware Acceleration of EDA Algorithms | Custom ICs, FPGAs and GPUs | Sunil P Khatri (u. a.) | Taschenbuch | xxii | Englisch | 2014 | Springer | EAN 9781489983336 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Springer, 2010

    1441909435 / 9781441909435

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  • Language: English

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  • Language: English

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  • Language: English

    Published by Springer, 2014

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Single-threaded software applications have ceased to see signi cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs.

  • Language: English

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  • Language: English

    Published by Springer Us, 2010

    1441909435 / 9781441909435

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    Hardcover. Condition: gut. 2010. Hardware Acceleration of Eda Algorithms In englischer Sprache. pages.

  • Language: English

    Published by Springer, 2010

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  • Language: English

    Published by SPRINGER NATURE Apr 2010, 2010

    1441909435 / 9781441909435

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Single-threaded software applications have ceased to see signi cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs. 192 pp. Englisch.

  • Language: English

    Published by Springer US, 2010

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides guidelines on whether to use GPUs or FPGAs when accelerating a given EDA algorithm, with validation by a concrete example implemented on both platformsDemonstrates the acceleration of several popular EDA algorithms on GPUs, with speedups .

  • Language: English

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    Condition: New. Print on Demand pp. 216 65 Illus.

  • Language: English

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  • Language: English

    Published by Springer Sep 2014, 2014

    1489983333 / 9781489983336

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Single-threaded software applications have ceased to see signi cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs. 216 pp. Englisch.

  • Language: English

    Published by Springer-Verlag New York Inc., 2014

    1489983333 / 9781489983336

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    Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Language: English

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides guidelines on whether to use GPUs or FPGAs when accelerating a given EDA algorithm, with validation by a concrete example implemented on both platformsDemonstrates the acceleration of several popular EDA algorithms on GPUs, with speedups .

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    Condition: New. PRINT ON DEMAND pp. 216.