Tanvi Sharma

Research Assistant@Purdue. Computer architect.

tanvi.jpg

@Purdue University

West Lafayette, Indiana 47907

I am a final year PhD student in the School of Electrical and Computer Engineering at Purdue University. I joined Purdue for a Direct PhD program in 2019 under the supervision of Prof. Kaushik Roy. Broadly, my research interests are in problems that intersect deep learning and hardware systems. The focus of my thesis is two-fold, 1. architecting efficient compute-in-memory based hardware solutions for deep learning (HW4DL), and 2. leveraging deep learning for hardware design (DL4HW).

Prior to joining Purdue, I worked as Digital Design Engineer in the Backplane Team at Texas Instruments (TI) India where I also collaborated with the EDA team, thanks to my manager Rashmi Sachan.

My CV can be found here.

We do not grow absolutely, chronologically. We grow sometimes in one dimension, and not in another, unevenly. We grow partially. We are relative. We are mature in one realm, childish in another. —Anais Nin

Beyond research, I like listening to music, dancing, solving NYT puzzles and finding guinea pigs for my cooking experiments. I also love playing badminton and have won several awards at intra- and inter- college tournaments during my undergrad at Indian Institute of Technology, Roorkee.

news

Jan 13, 2025 Co-instructing the course on AI Hardware with Prof. Kaushik Roy in Spring 2025.
Jun 24, 2024 Presented my work on “What, When, Where to Compute-in-Memory” in Design Automation Conference (DAC) as a Young Fellow.
Apr 17, 2024 Represented Purdue at the CHIPS Summit in Washington DC.
Aug 17, 2023 Attended MLSys Rising Stars Workshop organized by ML Commons at Google headquarters, Sunnyvale.
Aug 04, 2023 Grateful to co-host MLSys podcast with Student@systems featuring Prof. Gennady Pekhimenko and Prof. Cheng Tan.

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