I am a doctoral candidate at the School of Computing, National University of Singapore (NUS) advised by Prof. Trevor E. Carlson. My research interests lie broadly in the areas of computer architecture, performance evaluation, and dynamic program analysis. I aim to design energy-efficient, optimized computing methodologies and architectures using machine learning techniques that help reduce the global carbon footprint.
My current project focuses on speeding up the simulation of generic heterogeneous workloads. The work focuses on intelligently sampling large workloads so that only a part of them need to be analyzed to determine the overall behavior of the workload. Previously, I worked on sampling and analysis of generic multi-threaded CPU workloads, building simulation infrastructures, and designing mixed-criticality real-time schedulers.
Besides academics, I keep myself busy with several activities like: reading (poetry, philosophy, history, Malayalam literature), badminton, volleyball, cycling, music, movies, photography, backpacking, etc. I hail from Kerala, the land of mesmerizing backwaters and spicy food.