All our papers are available on the dedicated DiSC publications webpage. We maintain public repositories of our experimental codebases, website, scripts, and other artifacts on our GitHub page. Videos of our presentations can be found on our YouTube channel.

Software Artifacts

  • Experimental codebase of our paper "NOCAP: Near-Optimal Correlation-Aware Partitioning Joins", published at PACMMOD Vol. 1(4), 2023, presented at SIGMOD 2024

  • Experimental codebase of our demo paper "On-the-fly Data Transformation in Action", published at VLDB 2023.

  • Experimental codebase of our demo paper "Acheron: Persisting Tombstones in LSM Engines", published at SIGMOD 2023.

  • Experimental codebase of our paper "Indexing for Near Sorted Data", published at IEEE ICDE 2023.

  • Experimental codebase of our paper "ACEing the Bufferpool Management Paradigm for Modern Storage Devices", published at IEEE ICDE 2023.

  • Experimental codebase of our paper "Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty", published at VLDB 2022.

  • Experimental codebase of our paper "BoDS: A Benchmark on Data Sortedness", published at TPCTC 2022

  • Experimental codebase (and our emulation) of our paper "LSM-Tree Under (Memory) Pressure", published at ADMS 2022

  • Experimental codebase of our paper "Reducing Bloom Filter CPU Overhead in LSM-Trees on Modern Storage Devices", published at DAMON 2021.

  • Experimental codebase of our paper "A Parametric I/O Model for Modern Storage Devices", published at DAMON 2021.

  • Experimental codebase and workload generator of our paper "Constructing and Analyzing the LSM Compaction Design Space", published at VLDB 2021.

  • Experimental codebase for Fade and KiWi, part of our papers "Lethe: A Tunable Delete-Aware LSM Engine" published at ACM SIGMOD 2020 and “Enabling Timely and Persistent Deletion in LSM-Engines“ published at ACM TODS 2023.

  • Experimental codebase of our paper "UpBit: Scalable In-Memory Updatable Bitmap Indexing", published at SIGMOD 2016.

Other Artifacts