Shoumik Palkar

According to our database, Shoumik Palkar authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Prashanth Menon, Mostafa Mokhtar, Gene Pang, Sameer Paranjpye, Greg Rahn, Bart Samwel, Tom van Bussel, Herman Van Hovell, Maryann Xue, Reynold Xin, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Photon: A High-Performance Query Engine for the Lakehouse.

Alexander Behm, Shoumik Palkar

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2020

Interfaces for efficient software composition on modern hardware.

Shoumik Palkar

PhD thesis, 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

Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads.

Gina Yuan, Shoumik Palkar, Deepak Narayanan, Matei Zaharia

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.

Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia

Proceedings of Machine Learning and Systems 2020, 2020

2019

Optimizing data-intensive computations in existing libraries with split annotations.

Shoumik Palkar, Matei Zaharia

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

2018

Evaluating End-to-End Optimization for Data Analytics Applications in Weld.

Shoumik Palkar, James Thomas, Deepak Narayanan, Pratiksha Thaker, Rahul Palamuttam, Parimarjan Negi, Anil Shanbhag, Malte Schwarzkopf, Holger Pirk, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia

Proc. VLDB Endow., 2018

Filter Before You Parse: Faster Analytics on Raw Data with Sparser.

Shoumik Palkar, Firas Abuzaid, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2018

Splitability Annotations: Optimizing Black-Box Function Composition in Existing Libraries.

Shoumik Palkar, Matei Zaharia

CoRR, 2018

2017

Weld: Rethinking the Interface Between Data-Intensive Applications.

Shoumik Palkar, James Thomas, Deepak Narayanan, Anil Shanbhag, Rahul Palamuttam, Holger Pirk, Malte Schwarzkopf, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia

CoRR, 2017

DIY Hosting for Online Privacy.

Shoumik Palkar, Matei Zaharia

Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

A Common Runtime for High Performance Data Analysis.

Shoumik Palkar, James Thomas, Anil Shanbhag, Deepak Narayanan, Holger Pirk, Malte Schwarzkopf, Saman P. Amarasinghe, Matei Zaharia

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2015

E2: a framework for NFV applications.

Shoumik Palkar, Chang Lan, Sangjin Han, Keon Jang, Aurojit Panda, Sylvia Ratnasamy, Luigi Rizzo, Scott Shenker

Proceedings of the 25th Symposium on Operating Systems Principles, 2015