I’m a graduate student in Computer Systems Laboratory (CSL) in the department of Electrical and Computer Engineering at Cornell University. I am co-advised by Prof. Christina Delimitrou and Prof. Dave Albonesi, and am working on developing hardware-software techniques for improving resource efficiency in servers.
I interned at Intel Corp. for 6 months as HPC-Architect, where I worked on power-management algorithms for large-scale spatial architectures in the domain of high-performance computing systems. Prior to Cornell, I did my Bachelors and Masters in Electrical Engineering at the Indian Institute of Technology, Kanpur, India.
I’m interested in building efficient high-performance computing systems, from devices to large-scale datacenters.
Ph.D in Electrical and Computer Engineering, Current
Cornell University
M.S in Electrical and Computer Engineering, 2018
Cornell University
B.Tech-M.Tech in Electrical Engineering, 2014
Indian Institute of Technology, Kanpur
Employing approximation to explore if ML applications can sacrifice some accuracy to provide real-time latency and/or to execute with reduced resources
Building energy-efficient multicore system to tackle the dark silicon problem using assymetric & reconfigurable CPU cores
Developed a RTL implementation of flexible associative cache (using way-prediction) which provides performance similar to set associative cache but energy consumption similar to direct-mapped cache
Accelerating critical sections by prioritizing critical load/store requests in NoC switches
Cornell University
Head Teaching Assistant, ECE 2300, Digital Logic and Computer Organization, Fall 2018 and 2019
Teaching Assistant, ECE 2300, Digital Logic and Computer Organization, Fall 2015
Teaching Assistant, ECE 3140, Embedded Systems, Spring 2015
IIT Kanpur