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

  • Artifact of our paper "QuIT your B+Tree for Quick Insertion Tree", published at EDBT 2025.

  • Artifact of our paper "Benchmarking, Analyzing, and Optimizing Write Amplification of Partial Compaction in RocksDB", published at EDBT 2025.

  • Artifact of our paper "Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees", published at PACMMOD Vol. 3(3), 2025 (SIGMOD 2025)

  • Artifact of our paper "CAVE: Concurrency-Aware Graph Processing on SSDs", published at PACMMOD Vol. 2(3), 2024 (SIGMOD 2024)

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

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

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

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

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

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

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

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

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

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

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

  • Artifacts 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.

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

Other Artifacts