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/