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The 31st Edition seminar of DSDSD is brought to you by CWI .

PDX: A Data Layout for Vector Similarity Search Introduces a vertical data layout for vectors that accelerates similarity search through dimension-by-dimension processing, outperforming SIMD-optimized kernels. 📝arxiv.org/abs/2503.04422 👨🏽‍💻github.com/cwida/PDX

Excited to share that after (almost) completing my PhD with the DA group at CWI , I’m continuing as a postdoc! Grateful to keep working with such an inspiring group. I’ll keep working on FastLanes, the next-gen of big data file formats. Stay tuned! 🚀📊 #FastLanes #CWI

Tomorrow in Berlin | June 23 | 15:06–15:18 G-ALP: Rethinking GPU Decompression of Lightweight Encodings Learn how we achieve the fastest floating-point decompression on GPU, with the highest compressibility. Don’t miss it at DaMoN 2025 – #SIGMOD2025 #DAMON2025 #FastLanes

SIGMOD/PODS 2025 Berlin is a wrap! Many 🙏 to the organizers! Next stop for CWI DA is VLDB 2025 🇬🇧 London to present: - github.com/cwida/FastLanes v0.1 - spilling multi-operator joins (via DuckDB Labs) - the SQLStorm benchmark consisting of 30k LLM-generated complex queries (via TUM)

I'm excited to share that our paper (in collaboration with Peter Boncz ) has been accepted at VLDB 2025 in London and will be presented there: The FastLanes File Format In this paper, we introduce the FastLanes file format with Expression Encoding—a new way to define and combine

CWI DA Peter Boncz Azim Afroozeh Apache Parquet The paper was a good read: x.com/andrewlamb1111… Specifically I think the Encoding Expressions framework is a very nice idea for expressing cascading encodings.