As a PhD student I work extensively on exploring and understanding GPUs. The aim of my research is to develop a unified CPU-GPU
architecture. Before jumping head on into computer science with a focus on computer architecture I completed my undergraduate education in
Physics. As an undergraduate I worked with Prof. Yashwant Gupta
developing a Radio Transient detection pipeline at the National Center for Radio Astrophysics.
The pipeline was developed in CUDA. While working on this project I realised how hard it is to write efficient GPU code! While a GPU can
theoretically give unprecidented speedup it is very difficult to realise in practical implementation. With my experience working
with GPUs I decided to pursure computer architecture to make GPUs more efficient and easy to program on.
I later interned at SimYogTM with Prof. Dipanjan Gope. Here I worked on optimising the company's code base using vectorization and we achieved a 2x speedup!
Apart from research work I enjoy working out; reading the news; and staying in and ordering junk food over the weekend.
Ishita Chaturvedi, Anant Devi, Harikiran Muniganti, and Dipanjan Gope• Nov 2019
Shreya Mittal, Ishita Chaturvedi, K. Chandramani Singh Oct 2019
Ishita Chaturvedi, Vinutha SV March 2020
Department of Computer Science
35 Olden Street
Princeton, NJ 08540
ishitac (at) princeton.edu