I am a computer science PhD student at the University of Washington, advised by Luis Ceze and Mark Oskin.

My research interests are in new computer architecture and systems for virtual reality and other emerging graphics workloads. In the past, I have designed hardware accelerators for VR video processing, near-data similarity search, and low-power computer vision.

Before grad school, I studied computer engineering and English literature at Columbia University.

More information: curriculum vitae, blog, email, etc.

Recent News (see all →)

LightDB, a database management system for VR video content, will appear at VLDB 2018. Check it out here!
June 2018
Our paper on codesigning a similarity search hardware accelerator with die-stacked memory will appear at IPDPS 2018 this month!
May 2018
The hardware-friendly bilateral solver won runner-up for the Madrona Prize!
November 2017


LightDB: A DBMS for Virtual Reality.
Brandon Haynes, Amrita Mazumdar, Armin Alaghi, Magda Balazinska, Luis Ceze, Alvin Cheung.
To appear in VLDB 2018.
paper (pdf)

Application Codesign of Near-Data Processing for Similarity Search.
Vincent T. Lee, Amrita Mazumdar, Carlo C. Del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin.
In IPDPS 2018.
paper (pdf)

Exploring Computation-Communication Tradeoffs in Camera Systems.
Amrita Mazumdar, Armin Alaghi, Thierry Moreau, Sung Min Kim, Meghan Cowan, Luis Ceze, Mark Oskin, Visvesh Sathe.
In IISWC 2017.
paper (pdf), slides (pdf), bibtex

A Hardware-Friendly Bilateral Solver for Real-Time Virtual Reality Video.
Amrita Mazumdar, Armin Alaghi, Jonathan T. Barron, David Gallup, Luis Ceze, Mark Oskin, Steven M. Seitz.
In HPG 2017.
paper (pdf), slides (pdf), bibtex, code (github), blog post

Principles and Techniques of Schlieren Imaging Systems.
Amrita Mazumdar.
In Columbia University Computer Science Technical Reports 2013. , bibtex