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Record Nr. |
UNINA9910574863203321 |
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Titolo |
Approximate Computing Techniques : From Component- to Application-Level / / edited by Alberto Bosio, Daniel Ménard, Olivier Sentieys |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (541 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Electronic circuits |
Cooperating objects (Computer systems) |
Microprocessors |
Computer architecture |
Electronic Circuits and Systems |
Cyber-Physical Systems |
Processor Architectures |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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General introduction Motivations -- Number representations -- Data level approximation -- Dynamic precision scaling -- Hardware level approximation -- Inexact operators -- Computation level approximation - algorithmic level -- Analysis of approximation effect on application quality -- Techniques for finite precision arithmetic -- Compilers and Programming Languages for Approximate Computing -- Design space exploration -- Word-length optimization for fixed-point and floating-point -- HLS of approximate accelerators -- Approximate Computing for IoT Applications -- Approximating Safety-Critical Applications -- Approximate Computing for HPC Applications. |
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Sommario/riassunto |
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This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and |
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validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications. Provides a single-source reference to the state-of-the art of approximate computing (AxC); Presents a global picture of the approximate computing paradigm, at various levels of abstraction; Discusses real AxC applications, such as Approximate Computing for IoT, high performance computing and safety-critical applications. |
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