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  • Produktbild: Domain-Specific Computer Architectures for Emerging Applications
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Domain-Specific Computer Architectures for Emerging Applications Machine Learning and Neural Networks

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Beschreibung

This book explores the latest research in high performance domain-specific computer architectures for emerging applications, including Machine Learning and Neural Networks applications. The book discusses domain specific computing architectures and considers research issues related to the state-of-the...

Beschreibung

This book explores the latest research in high performance domain-specific computer architectures for emerging applications, including Machine Learning and Neural Networks applications. The book discusses domain specific computing architectures and considers research issues related to the state-of-the art architectures in emerging domains.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

04.06.2024

Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss

Verlag Taylor and Francis

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

04.06.2024

Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss

Verlag Taylor and Francis
Seitenzahl

418

Maße (L/B/H)

24/16.1/2.7 cm

Gewicht

740 g

Sprache

Englisch

ISBN

978-0-367-37453-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Domain-Specific Computer Architectures for Emerging Applications
  • Produktbild: Domain-Specific Computer Architectures for Emerging Applications
  • Preface. 1 Overview of Domain¿Specific Computing. 2 Machine Learning Algorithms and Hardware Accelerator Customization. 3 Hardware Accelerator Customization for Data Mining Recommendation Algorithms. 4 Customization and Optimization of Distributed Computing Systems for Recommendation Algorithms. 5 Hardware Customization for Clustering Algorithms. 6 Hardware Accelerator Customization Techniques for Graph Algorithms. 7 Overview of Hardware Acceleration Methods for Neural Network Algorithms. 8 Customization of FPGA¿Based Hardware Accelerators for Deep Belief Networks. 9 FPGA¿Based Hardware Accelerator Customization for Recurrent Neural Networks. 10 Hardware Customization/Acceleration Techniques for Impulse Neural Networks. 11 Accelerators for Big Data Genome Sequencing. 12 RISC¿V Open Source Instruction Set and Architecture. 13 Compilation Optimization Methods in the Customization of Reconfigurable Accelerators Index.