Prashant Pandey

Assistant Professor

Northeastern University

Biography

I am an Assistant Professor in the Khoury College of Computer Sciences Northeastern University, Boston. I am part of the Data Lab. I am also an Affiliate Faculty in the Performance and Algorithms Research Group at Berkeley Lab.

My goal as a researcher is to build scalable data systems with strong theoretical guarantees and employ them to democratize next-generation data analyses. My work applies to high-performance computing, computational biology, stream processing, and storage.

Previously, I was a Research Scientist at VMware Research for a year. Prior to that, I did postdocs at UC Berkeley/LBL and Carnegie Mellon University. I obtained my PhD in Computer Science at Stony Brook University in 2018.

I love outdoors and occasionally like to scribble my experience in a blog.

Interests

Large-Scale Data Systems
Graphs Processing
Computational Biology

Education

PhD in Computer Science, 2018

Stony Brook University

Media and Awards

Awards

NSF CAREER: FACULTY EARLY CAREER DEVELOPMENT AWARD 2024
IEEE-CS Early Career Researchers Award for Excellence in High Performance Computing 2023
Catacosinos Fellowship for Excellence in Computer Science Research 2018
Best paper award at FAST 2016
Runners-Up to the best paper award at FAST 2015

Grants

NSF CAREER Award (2024)
One Utah Data Science Hub Seed Grant (2024)
DOE Exascale Computing Project (ECP) Award (2022)

Media

Projects

A Compact, Dynamic, and Distributed GPU Data Structure Library

Fast and Space-Efficient In-Memory Indexes (Hash Tables, B-trees)

Scalable and Real-Time Stream Monitoring using External Memnory

A Comprehensive Dynamic-Graph System for Modern Applications

Scalable, Real-Time, and Information-Rich Sequence Search Over SRA

High-performance Filters for Modern Hardware (GPUs) and Workloads (Adaptive).

Recent & Upcoming Talks

Overview of Computational Biology Research in the Lab

Jan 10, 2024 11:46 AM — 11:46 AM

BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees

Nov 17, 2023 7:35 PM — 7:35 PM Atlanta, Georgia

IcebergHT: High Performance Hash Tables Through Stability and Low Associativity

Jun 24, 2023 9:28 AM — 9:28 AM Seattle, Washington

High-Performance Filters for GPUs

Jun 24, 2023 9:26 AM — 9:26 AM Orlando, Florida

IcebergHT: High Performance Hash Tables Through Stability and Low Associativity

Feb 24, 2023 9:17 AM — 9:17 AM Dagstuhl Germany 2023

See all events

Featured Publications

Richard Wen, Hunter McCoy, David Tench, Guido Tagliavini, Michael Bender, Alex Conway, Martin Farach-Colton, Rob Johnson, Prashant Pandey

June, 2025 SIGMOD 2025

Adaptive Quotient Filters

Hunter McCoy, Prashant Pandey

March, 2024 PPOPP 2024

Gallatin: A General-Purpose GPU Memory Manager

Helen Xu, Amanda Li, Brian Wheatman, Manoj Marneni, Prashant Pandey

May, 2023 VLDB 2023

BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees

Prashant Pandey, Michael Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini, Rob Johnson

March, 2023 SIGMOD 2023

IcebergHT: High Performance Hash Tables Through Stability and Low Associativity

Prashant Pandey, Brian Wheatman, Helen Xu, Aydin Buluc

March, 2021 SIGMOD 2021

Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs

Prashant Pandey, Shikha Singh, Michael A. Bender, Jonathan W. Berry, Martin Farach-Colton, Rob Johnson, Thomas M. Kroeger, Cynthia A. Phillips

January, 2020 SIGMOD 2020, TODS 2021

Timely Reporting of Heavy Hitters Using External Memory

[*Joint first authors]

Prashant Pandey, Fatemeh Almodaresi, Michael A. Bender, Michael Ferdman, Rob Johnson, and Rob Patro

July, 2018 RECOMB 2018, Cell Systems 2018

Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index

Prashant Pandey, Michael A. Bender, Rob Johnson, and Rob Patro

July, 2017 SIGMOD 2017

A General-Purpose Counting Filter: Making Every Bit Count

All Publications

Richard Wen, Hunter McCoy, David Tench, Guido Tagliavini, Michael Bender, Alex Conway, Martin Farach-Colton, Rob Johnson, Prashant Pandey (2025). Adaptive Quotient Filters. SIGMOD 2025.

PDF Project

Brian Wheatman, Xiaojun Dong, Zheqi Shen, Laxman Dhulipala, Jakub Łącki, Prashant Pandey, Helen Xu (2024). BYO: A Unified Framework for Benchmarking Large-Scale Graph Containers. VLDB 2024.

Code Project

Prashant Pandey, Martin Farach-Colton, Niv Dayan, Huanchen Zhang (2024). Beyond Bloom: A Tutorial on Future Feature-Rich Filters. SIGMOD 2024.

PDF Cite Project

Yi Xu*, Henry Zhu*, Prashant Pandey, Alex Conway, Rob Johnson, Ramnatthan Alagappan, Aishwarya Ganesan (2024). IONIA: High-Performance Replication for Modern Disk-based KV Stores. FAST 2024.

PDF Cite Project

Hunter McCoy, Prashant Pandey (2024). Gallatin: A General-Purpose GPU Memory Manager. PPOPP 2024.

PDF Cite Code Project

See all publications