IEEE Transactions on Computers (TC) seeks original manuscripts for a special issue on Domain-Specific Architectures for Emerging Applications, scheduled to appear in May 2020.
Domain-specific architectures have gained prominence in the effort to overcome the stagnation in transistor feature-size scaling. The push towards greater performance and energy efficiency gains have necessitated in dedicated hardware focused on accelerating key application kernels. Such accelerators have proliferated, particularly in the machine learning and deep learning space, and are increasingly becoming essential components of mainstream commercial processors across a multitude of other domains as well. The rapid rate at which application and system software are evolving has also been reflected in processor design methodologies with most general-purpose computers being augmented with custom accelerators, both on and off-chip, making hardware-software co-development an essential component of the design and manufacturing flow. This IEEE Transactions on Computers special issue on Domain-Specific Architectures for Emerging Applications seeks to expand our understanding of novel accelerator designs across emerging application domains, from circuit and microarchitecture aspects, to solutions at the compiler and system-software level.
Topics of interest to this special issue include, but not limited to:
Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. As an author, you are responsible for understanding and adhering to the TC submission guidelines. Please thoroughly read these before submitting your manuscript. Please submit your paper at https://mc.manuscriptcentral.com/tc-cs
Please note the following important dates.
Please address all other correspondence regarding this special session to Guest Editors Karthik Swaminathan (kvswamin@us.ibm.com) and Lisa Wu Wills (lisa@cs.duke.edu)
| Guest Editors |
| Karthik Swaminathan | Lisa Wu Wills |
Corresponding Topical Editor (CTE)
Prof. Tao Li
Electrical and Computer Engineering
University of Florida
E-mail: taoli@ece.ufl.edu