Embedded, High Performance, and Intelligent Computing (EPIC) Lab

The EPIC research lab 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.

Overview: Specific research focus areas include: 1) electronic design automation (EDA) and computer architecture for AI/ML acceleration with silicon photonics and in-memory computing; advanced network-on-chip and network-on-interposer design, emerging memory architectures, and 3D ICs; 2) design of embedded, IoT, and edge computing systems, across the domains of automotive, medical, and mobile applications; and 3) AI/ML driven sustainable management and design for datacenters and supercomputers. The lab’s research has been funded by various sponsors including NSF, SRC, AFOSR, DOE, ORNL, DoD, Fiat-Chrysler, HPE, and NASA. A five minute overview video of the EPIC research lab can be found here. A concise overview of the various research activities in our lab can be found in the poster here. Selected videos from a few of these projects can be found here. Link to all relevant publications can be found here. Citations and publications are listed at: [Google Scholar] [DBLP].

Leadership: The EPIC lab is directed by Prof. Sudeep Pasricha, who is the Aram and Helga Budak Endowed 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 a former University Distinguished Monfort Professor and College of Engineering Rockwell-Anderson Endowed Professor. Prof. Pasricha received the B.E. degree in Electronics and Communication Engineering from Delhi Institute of Technology, India, in 2000, and his Ph.D. in Computer Science from the University of California, Irvine in 2008. He joined Colorado State University (CSU) in 2008. He is a Fellow of the IEEE, Fellow of AAIA, Fellow of AIIA, Distinguished Member of the ACM, an IEEE CEDA Distinguished Lecturer, and an ACM Distinguished Speaker.

Note for Graduate Students: There are multiple PhD positions available in the EPIC lab. In particular, we are looking for students to work on projects related to deep machine learning for sustainable datacenters, silicon photonic accelerators, chip-scale network and memory architectures, mobile indoor navigation, automotive security and environment perception, and multicore security. See here for more details.