E2: a framework for NFV applications. - Shoumik Palkar; Chang Lan; Sangjin Han; Keon Jang; Aurojit Panda; Sylvia Ratnasamy; Luigi Rizzo; Scott Shenker (SOSP, 2015)

A Common Runtime for High Performance Data Analysis. - Shoumik Palkar; James Thomas 003; Anil Shanbhag; Deepak Narayanan; Holger Pirk; Malte Schwarzkopf; Saman P. Amarasinghe; Matei Zaharia (CIDR, 2017)

DIY Hosting for Online Privacy. - Shoumik Palkar; Matei Zaharia (HotNets, 2017)

Weld: Rethinking the Interface Between Data-Intensive Applications. - Shoumik Palkar; James Thomas 003; Deepak Narayanan; Anil Shanbhag; Rahul Palamuttam; Holger Pirk; Malte Schwarzkopf; Saman P. Amarasinghe; Samuel Madden 001; Matei Zaharia (CoRR, 2017)

Splitability Annotations: Optimizing Black-Box Function Composition in Existing Libraries. - Shoumik Palkar; Matei Zaharia (CoRR, 2018)

Filter Before You Parse: Faster Analytics on Raw Data with Sparser. - Shoumik Palkar; Firas Abuzaid; Peter Bailis; Matei Zaharia (Proc. VLDB Endow., 2018)

Evaluating End-to-End Optimization for Data Analytics Applications in Weld. - Shoumik Palkar; James Thomas 003; Deepak Narayanan; Pratiksha Thaker; Rahul Palamuttam; Parimarjan Negi; Anil Shanbhag; Malte Schwarzkopf; Holger Pirk; Saman P. Amarasinghe; Samuel Madden 001; Matei Zaharia (Proc. VLDB Endow., 2018)

Optimizing data-intensive computations in existing libraries with split annotations. - Shoumik Palkar; Matei Zaharia (SOSP, 2019)

Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference. - Peter Kraft; Daniel Kang; Deepak Narayanan; Shoumik Palkar; Peter Bailis; Matei Zaharia (MLSys, 2020)

Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads. - Gina Yuan; Shoumik Palkar; Deepak Narayanan; Matei Zaharia (USENIX ATC, 2020)

A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference. - Peter Kraft; Daniel Kang; Deepak Narayanan; Shoumik Palkar; Peter Bailis; Matei Zaharia (Proc. VLDB Endow., 2020)

Interfaces for efficient software composition on modern hardware. - Shoumik Palkar (2020)

Photon: A High-Performance Query Engine for the Lakehouse. - Alexander Behm; Shoumik Palkar (CIDR, 2022)

Photon: A Fast Query Engine for Lakehouse Systems. - Alexander Behm; Shoumik Palkar; Utkarsh Agarwal; Timothy Armstrong; David Cashman; Ankur Dave; Todd Greenstein; Shant Hovsepian; Ryan Johnson; Arvind Sai Krishnan; Paul Leventis; Ala Luszczak; et al. (SIGMOD Conference, 2022)