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"High Performance Clojure" by Chris Nuernberger

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  • Presented by Chris Nuernberger, creator of tech.ml.dataset

Advanced. Deep dive for people who know the field.

4.3K views3 years ago1 recommendation

Programming languagesSystems programmingLisp and ClojurePerformance and optimizationConcurrency and parallelism

Chris Nuernberger discusses high-performance associative data structures, algorithms, and JVM optimizations for Clojure data processing.

Research and results from the world of high performance Clojure data processing. This talk will cover high performance associative datastructures, algorithms, high performance reductions and lessons learned about the JVM and specifically HotSpot optimizations. Takeaways will include specific aspects of the JVM Clojure runtime that could be improved and future directions for research.

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What people say. Recommended as a deep dive into JVM internals and optimization techniques for high-performance Clojure applications.

u/chrisnuernbergerin r/Clojure • Recommends

TMD 7.000 - The Long Beta Is Over We have released version 7.000 of tech.ml.dataset - our in-memory column-major data processing engine! This release contains a lot of bugfixes, performance improvements, API improvements, and the results of quite a lot of painstaking research into how the JVM works and fast reduction pathways for complex systems. Specifically the engine was very carefully built from a perspective of making reductions as fast as possible leading to improvements in several areas. Ideally this version is a drop-in replacement with better performance than version 6 (or pandas or dplyr). An example of one specific improvement out of many that we now to kernel combining in th…
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