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B01=Muhammad Shafique
B01=Sudeep Pasricha
Category1=Non-Fiction
Category=GPFC
Category=TJF
Category=UKM
Category=UYQ
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures

English

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.

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Current price €74.69
Original price €82.99
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Age Group_Uncategorizedautomatic-updateB01=Muhammad ShafiqueB01=Sudeep PasrichaCategory1=Non-FictionCategory=GPFCCategory=TJFCategory=UKMCategory=UYQCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Activesoftlaunch

Will deliver when available. Publication date 24 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Oct 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031195709

About

Sudeep Pasricha is a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering the Department of Computer Science and the Department of Systems Engineering at Colorado State University. He is Director of the Embedded High Performance and Intelligent Computing (EPIC) Laboratory and the Chair of Computer Engineering. Prof. Pasricha received the B.E. degree in Electronics and Communication Engineering from Delhi Institute of Technology India and his Ph.D. in Computer Science from the University of California Irvine. He has several years of work experience in industry where his work focused on electronic chip design automation model based design and embedded system codesign. Prof. Pasricha has received more than $7M in funding for his research from various sponsors including the NSF SRC AFOSR ORNL DoD Fiat-Chrysler and NASA. He has co-authored multiple books contributed to several book chapters and published more than 250 research articles in peer-reviewed conferences journals and books. He has been part of panels keynotes and also organized special sessions and tutorials on his research areas at premier conferences. He is a Senior Member of the IEEE (Computer Society) Distinguished Member of the ACM and an ACM Distinguished Speaker.Prof. Pasrichas research broadly focuses on software algorithms hardware architectures and hardware-software co-design for energy-efficient fault-tolerant real-time and secure computing. These efforts target multi-scale computing platforms including embedded and Internet of Things (IoT) systems cyber-physical systems mobile devices and datacenters. Prof. Pasricha has received 16 Best Paper Awards and Nominations at various IEEE and ACM conferences including at DAC ASPDAC NOCS GLSVLSI SLIP AICCSA and ISQED. Other notable awards include: the 2019 George T. Abell Outstanding Research Faculty Award the 2016-2018 University Distinguished Monfort Professorship 2016-2019 Walter Scott Jr. College of Engineering Rockwell-Anderson Professorship 2018 IEEE-CS/TCVLSI Mid-Career Research Achievement Award the 2015 IEEE/TCSC Award for Excellence for a Mid-Career Researcher the 2014 George T. Abell Outstanding Mid-career Faculty Award and the 2013 AFOSR Young Investigator Award.Prof. Pasricha is currently the Vice Chair of ACM SIGDA and a Senior Associate Editor for the ACM Journal of Emerging Technologies in Computing (JETC). He is an Associate Editor for the ACM Transactions on Embedded Computing Systems (TECS) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) IEEE Consumer Electronics (CM) and IEEE Design & Test of Computers (D&T). He also serves as the Chair of the Steering Committee of IEEE Transactions on Sustainable Computing (TSUSC). He is currently or has been an Organizing Committee Member of several IEEE/ACM conferences such as DAC ESWEEK ICCAD GLSVLSI NOCS RTCSA etc. He has served as the General Chair for various IEEE/ACM conferences such as NOCS HCW IGSC iSES ICESS etc.; and as Program Chair for CODES+ISSS NOCS IGSC iNIS VLSID HCW DAC PhD Forum ICCAD Cadathlon etc. He is also in the Technical Program Committee of several IEEE/ACM conferences such as DAC DATE ICCAD ICCD NOCS etc. He holds an affiliate faculty member position at the Center for Embedded and Cyber-Physical Systems at UC Irvine. He has also received multiple awards for professional service including the 2019 ACM SIGDA Distinguished Service Award the 2015 ACM SIGDA Service Award and the 2012 ACM SIGDA Technical Leadership Award.  Muhammad Shafique received his Ph.D. degree in computer science from the Karlsruhe Institute of Technology (KIT) Germany in 2011. Afterwards he established and led a highly recognized research group at KIT for several years as well as conducted impactful R&D activities across the globe. Before KIT he was with Streaming Networks Pvt. Ltd. where he was involved in research and development of video coding systems several years. In Oct.2016 he joined the Institute of Computer Engineering at the Faculty of Informatics Technische Universität Wien (TU Wien) Vienna Austria as a Full Professor of Computer Architecture and Robust Energy-Efficient Technologies. Since Sep.2020 he is with the Division of Engineering at New York University Abu Dhabi (NYU-AD) in UAE and is a Global Network faculty at the NYUs Tandon School of Engineering (NYU-NY) in USA. He is the director of the eBrain research lab and is also a Co-PI/Investigator in multiple large-scale research centers at NYUAD including the Center of Artificial Intelligence and Robotics (CAIR) Center for Quantum and Topological Systems Center of Cyber Security (CCS) and Center for InTeractIng urban nEtworkS (CITIES). Dr. Shafique has demonstrated success in leading team-projects meeting deadlines for demonstrations motivating team members to peak performance levels and completion of independent challenging tasks. His experience is corroborated by strong technical knowledge and an educational record (throughout Gold Medalist). He also possesses an in-depth understanding of various video coding standards. His research interests are in brain-inspired computing AI & machine learning hardware and system-level design autonomous systems wearable healthcare energy-efficient systems robust computing hardware security emerging technologies FPGAs MPSoCs and embedded systems. His research has a special focus on cross-layer analysis modeling design and optimization of computing and memory systems. The researched technologies and tools are deployed in application use cases from Internet-of-Things (IoT) smart Cyber-Physical Systems (CPS) and ICT for Development (ICT4D) domains. Dr. Shafique has given several Keynotes Invited Talks and Tutorials at premier venues. He has also organized many special sessions at flagship conferences (like DAC ICCAD DATE IOLTS and ESWeek) and has served as the Guest Editor for IEEE Design and Test Magazine (D&T) IEEE Transactions on Sustainable Computing (T-SUSC) IEEE Transactions on Embedded Computing (TECS) and Elsevier MICPRO. He has served as the TPC Chair of several conferences like IGSC ISVLSI PARMA-DITAM RTML ESTIMedia and LPDC; General Chair of ISVLSI DDECS and ESTIMedia; Track Chair at DAC ICCAD DATE IOLTS DSD and FDL; and PhD Forum Chair of ISVLSI. He has also served on the program committees of numerous prestigious IEEE/ACM conferences including ICCAD DAC ISCA DATE CASES ASPDAC and FPL. He holds one US patent and has (co-)authored 6 Books 15+ Book Chapters 300+ papers in premier journals and conferences and over 50 archive articles. Dr. Shafique received the prestigious 2015 ACM/SIGDA Outstanding New Faculty Award the AI-2000 Chip Technology Most Influential Scholar Award in 2020 six gold medals in his educational career and several best paper awards and nominations at prestigious conferences like CODES+ISSS DATE DAC and ICCAD Best Master Thesis Award DAC'14 Designer Track Best Poster Award IEEE Transactions of Computer Feature Paper of the Month Awards and Best Lecturer Award. Dr. Shafique is a senior member of the IEEE and IEEE Signal Processing Society (SPS) and a professional member of the ACM SIGARCH SIGDA SIGBED and HIPEAC.

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