IEEE Micro Special Issue on Memristor-Based Computing Submission deadline: March 16, 2018 Publication: September/October 2018 Guest Editors: Lizy Kurian John and Earl Swartzlander (The University of Texas at Austin) In 1971, Leon Chua presented the theoretical basis for a passive
SIGARCH Recent Initiatives
SIGARCH — the ACM Special Interest Group on Computer Architecture —has a number of exciting initiatives underway, including a redesigned web site, the new blog Computer Architecture Today, and the SIGARCH Visioning Series of workshops. We invite TCCA members to
Morgan & Claypool Announces First Comprehensive, Technical Autonomous Vehicles Book
Creating Autonomous Vehicle Systems Shaoshan Liu, PerceptIn Liyun Li, Baidu US Jie Tang, South China University of Technology Shuang Wu, YiTu Jean-Luc Gaudiot, University of California, Irvine Paperback ISBN: 9781681730073 eBook ISBN: 9781681730080 October 2017, 196 pages Morgan &
New Book: Architectural and Operating System Support for Virtual Memory
Architectural and Operating System Support for Virtual Memory Abhishek Bhattacharjee, Rutgers University Daniel Lustig, NVIDIA This book provides computer engineers, academic researchers, new graduate students, and seasoned practitioners an end-to-end overview of virtual memory. We begin with a recap
New Book: Deep Learning for Computer Architects
Deep Learning for Computer Architects Brandon Reagen, Harvard University Robert Adolf, Harvard University Paul Whatmough, ARM Research and Harvard University Gu-Yeon Wei, Harvard University David Brooks, Harvard University http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1099 Machine learning, and specifically deep learning, has been hugely
New Book: On-Chip Networks, Second Edition
On-Chip Networks, Second Edition Natalie Enright Jerger, University of Toronto Tushar Krishna, Georgia Institute of Technology Li-Shiuan Peh, National University of Singapore http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1081 This book targets engineers and researchers familiar with basic computer architecture concepts who are
New Book: Space-Time Computing with Temporal Neural Networks
Space-Time Computing with Temporal Neural Networks James E. Smith Professor Emeritus, University of Wisconsin http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1073 Understanding and implementing the brain’s computational paradigm is the one true grand challenge facing computer researchers. Not only are the brain’s computational capabilities far beyond
