Join us at 10:55 AM in RUCH 103 for a presentation from Purab Sutradhar, the third and final installment of research presentations in our seminar series.
Memory-centric computing, with its inherent ability to overcome memory bandwidth bottlenecks, emerges as a promising platform for a sustainable future of digital computing, with superior energy efficiency, parallel computing performance, and scalability compared to the present state-of-the-art. This presentation delves into Purab’s research contribution to pioneering memory-centric computing for various data-intensive application domains such as AI and Cryptography. These contributions range from innovative in-memory computing techniques, dataflow models, and architectural design solutions, leading to impressive energy efficiency and performance figures.
Purab also outlines his future research vision for memory-centric computing, along with a detailed plan and logistics for pioneering cutting-edge research programs in this domain. Additionally, Purab briefly addresses his teaching and course development experience as well as his teaching interests and philosophy.
Purab Sutradhar is a Ph.D. candidate in Electrical and Computer Engineering at Rochester Institute of Technology. He received his Bachelor’s in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology in 2017. His primary area of research is memory-centric computing for AI and cybersecurity applications. His future research goal is to pioneer memory-centric computing for both data-center computing, as well as, low-power and edge computing applications.