13: High performance Clojure numerics with Chris Nuernberger

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By Daniel Compton. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

Chris Nuernberger talks about his work on tvm-clj, unsigned bytes on the JVM, efficient copying of data, neural networks, GPUs

Chris has a wide background across many different areas of computer science and software engineering. He first got into GPGPU programming around 2008 with a research group at CU trying to auto-optimize a simple linear algebra expression (y = Ax + b). He first got into LISP with cmucl after a bout of RSI (pain in hands and fingers) convinced him that mainstream languages at the time (C++, python, C#, Java, ML) didn’t offer enough leverage for the types of projects that he was involved in. He is currently a partner at company named Tech Ascent based in Boulder, Colorado.

33 episodes