I am a third year Ph.D. student at Stanford University, advised by Prof. Matei Zaharia. My research interests include performance in data analytics and computer networks.
I am affiliated with Stanford DAWN where I work on Weld, a novel interface for data analytics libraries that enables optimizations and fast code generation across libraries and frameworks such as NumPy and Spark. Weld is open source here.
Filter Before You Parse: Faster Analytics on Raw Data.
Shoumik Palkar, Firas Abuzaid, Peter Bailis, and Matei Zaharia.
DIY Hosting for Online Privacy.
Shoumik Palkar and Matei Zaharia.
In HotNets 2017.
Weld: Rethinking the Interface Between Data-Intensive Applications.
Shoumik Palkar, James Thomas, Deepak Narayanan, Anil Shanbhag, Holger Pirk, Malte Schwarzkopf, Saman Amarasinghe, Samuel Madden, and Matei Zaharia.
Weld: A Common Runtime for Data Analytics.
Shoumik Palkar, James Thomas, Anil Shanbhag, Deepak Narayanan, Holger Pirk, Malte Schwarzkopf, Saman Amarasinghe, and Matei Zaharia.
In CIDR 2017.
E2: A Framework for NFV Applications.
Shoumik Palkar, Chang Lan, Sangjin Han, Keon Jang, Aurojit Panda, Sylvia Ratnasamy, Luigi Rizzo, and Scott Shenker.
In SOSP 2015.
During the 2015-2016 academic year I was at MIT working in the PDOS Lab, and was supported by a Jacobs Presidential Fellowship. Before that, I received a B.S. in Electrical Engineering and Computer Science from UC Berkeley where I worked with Scott Shenker and Sylvia Ratnasamy in the NetSys Lab on E2, a scalable, high performance framework for NFV.