Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, 1st ed. 2024 Software Optimizations and Hardware/Software Codesign
- Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing;
- Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization;
- Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
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 250research 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. Pasricha’s 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 Pr
Date de parution : 10-2023
Ouvrage de 477 p.
15.5x23.5 cm