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Listen "Vector Search and the Need for Speed with Chris Hegarty"
Episode Synopsis
Join me as I speak with Chris Hegarty, our resident Lucene PMC Chair, Java and Search expert at Elastic. You can find Chris on X/Twitter at https://x.com/chegar999.
In this episode we discuss many of the latest performance improvements Chris and team have brought to Lucene and Elasticsearch by leveraging newer capabilities in Chips and the JDK itself. You'll learn what SIMD, FFM, FMA and more TLA's mean and why they matter. All in all, I learned a lot in this episode and I hope you find it as informative and fun as I did. Thanks Chris for taking the time to speak with me!!
Links from the show:
https://www.elastic.co/blog/accelerating-vector-search-simd-instructions
https://www.elastic.co/search-labs/blog/vector-similarity-computations-fma-style
https://www.elastic.co/search-labs/blog/vector-similarity-computations-ludicrous-speed
https://www.elastic.co/search-labs/blog/lucene-and-java-moving-forward-together
https://openjdk.org/projects/panama/
In this episode we discuss many of the latest performance improvements Chris and team have brought to Lucene and Elasticsearch by leveraging newer capabilities in Chips and the JDK itself. You'll learn what SIMD, FFM, FMA and more TLA's mean and why they matter. All in all, I learned a lot in this episode and I hope you find it as informative and fun as I did. Thanks Chris for taking the time to speak with me!!
Links from the show:
https://www.elastic.co/blog/accelerating-vector-search-simd-instructions
https://www.elastic.co/search-labs/blog/vector-similarity-computations-fma-style
https://www.elastic.co/search-labs/blog/vector-similarity-computations-ludicrous-speed
https://www.elastic.co/search-labs/blog/lucene-and-java-moving-forward-together
https://openjdk.org/projects/panama/
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Quantization: The Important Bits
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HNSW / KNN Deep dive with Mayya Sharipova
05/09/2024
Episode 1 with Search PM Serena Chou
25/07/2024
In God we trust