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

Author:   Chao Wang (University of Science and Technology of China, Jiangsu, China)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367374532


Pages:   402
Publication Date:   04 June 2024
Format:   Hardback
Availability:   Not yet available   Availability explained
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Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks


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Author:   Chao Wang (University of Science and Technology of China, Jiangsu, China)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.929kg
ISBN:  

9780367374532


ISBN 10:   0367374536
Pages:   402
Publication Date:   04 June 2024
Audience:   College/higher education ,  Professional and scholarly ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.

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Dr. Chao Wang is a Professor with the University of Science and Technology of China, and also the Vice Dean of the School of Software Engineering. He serves as the Associate Editor of ACM TODAES and IEEE/ACM TCBB. Dr. Wang was the recipient of ACM China Rising Star Honorable Mention, and best IP nomination of DATE 2015, Best Paper Candidate of CODES+ISSS 2018. He is a senior member of ACM, senior member of IEEE, and distinguished member of CCF.

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