This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators
Introduction.- AI Hardware Accelerators.- AI Accelerators for Standalone Compute.- AI Accelerators for Servers and Cloud Applications.- AI Accelerators for Configurable Hardware.- Hardware Architecture for Smartphones.- Software and Benchmark for Smartphones.- Hardware Accelerators for Autonomous Vehicles.- Hardware Accelerators in Embedded Systems.- Processing-In-Memory based Hardware Accelerator.- Emerging CNN Hardware Architectures for Energy-efficient AI.- Neuromorphic Hardware Accelerators.
Ashutosh Mishra has received his B.Tech. degree in Electronics and Communication Engineering from Uttar Pradesh Technical University Lucknow, India, in 2008. He completed his masters in Microelectronics & VLSI design from the National Institute of Technology Allahabad, India, in 2011. He has earned his Ph.D. degree in 2018 from the Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi, India. He has worked as an Assistant professor in Electronics and Communication Engineering at the National Institute of Technology Raipur, India. He is the recipient of the Korea Research Fellowship (KRF) 2019 provided by the National Research Foundation of Korea through the Ministry of Science & ICT, South Korea. Currently, he is working as a Research faculty & Brain Pool Fellow in the Seamless Transportation Lab, School of Integrated Technology, Yonsei University, South Korea. His l£Ü