talks
Invited talks, conference presentations, and tutorials.
- Filters and Adaptivity · Boston University · Mar 2026
- Jasper: Updatable Approximate Nearest Neighbor Search on GPU · Google Research, NY · Dec 2025
- Memory Management and Dynamic Data Structures on GPUs Managing Parallelism Workshop · Simons Institute, UC Berkeley · Oct 2025
- Zombie hashing: Reanimating Tombstones in a Graveyard Software Performance Engineering (25341) · Dagstuhl Germany 2025 · Aug 2025
- Vector Search for Large-Scale Genomic Discovery The 1st Workshop on Vector Databases (VecDB) at ICML 2025 · Vancouver, Canada · Jul 2025
- From Hash Tables to B-trees: Rethinking Core Data Structures for Scalable Performance AMD Research Banglore, IISc Banglore · Banglore India · May 2025
- Dynamic Graphs: Containers, Frameworks, and Benchmarks Parallel Graph Processing and Future Challenges at PPoPP 2025 · Las Vegas, Nevada US · Mar 2025
- Data Systems at Scale CSE Department Seminar · Merced, California US · Nov 2024
- Adaptive Quotient Filters: How to Learn from Your Mistakes Theoretical Foundations of Nonvolatile Memory 2024 · Shonan, Japan · Jul 2024
- Beyond Bloom: A Tutorial on Future Feature-Rich Filters SIGMOD 2024 Tutorial · Santiago, Chile · Jun 2024
- BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees Northwest Database Day 2024 · Kirkland, Washington US · Feb 2024
- Overview of Computational Biology Research in the Lab · · Jan 2024
- BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees Georgia Tech Database Seminar · Atlanta, Georgia US · Nov 2023
- High-Performance Filters for GPUs Workshop on Filter Data Structures (SPAA 2023) · Orlando, Florida US · Jun 2023
- IcebergHT: High Performance Hash Tables Through Stability and Low Associativity SIGMOD 2023 · Seattle, Washington US · Jun 2023
- IcebergHT: High Performance Hash Tables Through Stability and Low Associativity From Big Data Theory to Big Data Practice · Dagstuhl Germany 2023 · Feb 2023
- Designing High-Performance and Feature Rich GPU Filters For Exascale Computing · Salt Lake City, Utah · Sep 2022
- Scalability Challenges in Large-Scale Sequence Search Utah Center of Data Science Seminar Series · Salt Lake City, Utah · Sep 2022
- Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design · Aussois France · Sep 2022
- Data Systems at Scale: Scaling Up by Scaling Down and Out · University of Utah, George Mason University · Mar 2022
- Time to Change Your Filter MiDAS Seminar · Boston University · Feb 2022
- Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design · SIGMOD 2021 · Jun 2021
- Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs · SIGMOD 2021 · Jun 2021
- Data Systems at Scale: Scaling Up by Scaling Down and Out · IISc Banglore, University of Arizona, VMWare Research, University of Illinois Chicago, Microsoft Research, University of Virginia · Feb 2021
- Applying Graph Neural Networks to Metagenomics · Lawrence Berkeley National Lab · Feb 2021
- VariantStore: A Space-Efficient and Fast Variant Search Index · ISMB 2020 · Jul 2020
- Timely Reporting of Heavy Hitters using External Memory · SIGMOD 2020, Portland, OR, USA · Jun 2020
- Timely Reporting of Heavy Hitters using External Memory · ITU, Copenhagen, Denmark and UMD, College Park, MD, USA · Oct 2019
- Small Refinements to the DAM Can Have Big Consequences for Data-Structure Design · SPA 2019, Phoenix, AZ · Jun 2019
- Fast and Space-Efficient Maps: Shrinking Big Data Down to Size · Dissertation defense, Stony Brook University, NY · Oct 2018
- Buffered Count-Min Sketch on SSD: Theory and Experiments · ESA 2018, Helsinki, Finland · Aug 2018
- Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index · RECOMB 2018, Paris, France · Apr 2018
- Scheduling Problems in Write-Optimized Key-Value Stores · New Challenges in Scheduling Theory 20018, Aussois, France · Apr 2018
- Compact Representation of Annotated de Bruijn Graph · Berkeley Lab, UC Berkeley, CA · Jan 2018
- deBGR: An Efficient and Near-Exact Representation of the Weighted de Bruijn Graph · Google Research, NY and VMware Research, CA · Sep 2017
- deBGR: An Efficient and Near-Exact Representation of the Weighted de Bruijn Graph · ISMB 2017, Prague, Czech Republic · Jul 2017
- A General-Purpose Counting Filter: Making Every Bit Count · SIGMOD 2017, Chicago, IL · May 2017
- Intel Software Guard Extensions (SGX) · Sandia National Laboratories, Livermore, CA · Aug 2015