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A01=Akash Kumar
A01=Salim Ullah
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Author_Akash Kumar
Author_Salim Ullah
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems

English

By (author): Akash Kumar Salim Ullah

This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.

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A01=Akash KumarA01=Salim UllahAge Group_UncategorizedAuthor_Akash KumarAuthor_Salim Ullahautomatic-updateCategory1=Non-FictionCategory=TJFCCategory=UKMCategory=UYFCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Activesoftlaunch

Will deliver when available. Publication date 22 Mar 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 01 Mar 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031212963

About Akash KumarSalim Ullah

Salim Ullah received the Ph.D. degree with Summa Cum Laude in Computer Science from Technische Universität Dresden (TUD) Dresden Germany in 2021. Currently he is a postdoctoral research associate at the Chair of Processor Design TUD Germany. His current research interests include the design of approximate arithmetic units approximate caches reconfigurable computing and hardware accelerators of AI and machine learning algorithms.             Akash Kumar received the joint Ph.D. degree in electrical engineering and embedded systems from the Eindhoven University of Technology Eindhoven The Netherlands and the National University of Singapore (NUS) Singapore in 2009. From 2009 to 2015 he was with NUS. He is currently a Professor at Technische Universität Dresden Dresden Germany where he is directing the Chair of Processor Design. His current research interests include the design analysis and resource management of low-power and fault-tolerant-embedded multiprocessor systems.

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