skardanMay 2017Recommends
ClojureCUDA, ClojureCL (as in OpenCL) and Neanderthal are libraries developed by Dragan Djuric. Watch his talk from EuroClojure 2016 in Bratislava: ▶ this video
in “Uncomplicate: Number crunching in Clojure” · View on HN
Clojure is Not Afraid of the GPU - Dragan Djuric
Clojure is Not Afraid of the GPU - Dragan Djuric on HackerTube: recommended by 1 Hacker News commenter across 1 month, 2016–2018.
ClojureTV
Open on YouTubetalk · advanced · dated
Dragan Djuric presents Clojure libraries for GPU and numerical computing, including ClojureCL, ClojureCUDA and Neanderthal. He shows how a dynamic REPL workflow can be combined with low-level hardware acceleration for machine learning and data science.
Why Hacker News recommends it
HN commenters point to it as the talk by the author of Neanderthal and the Clojure GPU libraries, including comparisons against the JVM and CPU.
- people recommended it
- 1
- separate months
- 1
- strong recommendations
- 0
- discussed on HN
- 2016–2018
“Watch his talk from EuroClojure 2016 in Bratislava”
What HN commenters said
3 Hacker News comments link this video. Each one links back to its thread.
thebeardedoneFeb 2018Cites it
ClojureCL looks quite awesome, it looks like it takes all of the boiler plate out in comparison to C but I am very interested in the overhead. I tried aparapi for my bachelor thesis and for larger problems it seemed to have quite the overhead that the normal kernel did not have (several years ago). After watching your talk on youtube [1], I saw you compared the GPU implementation to the JVM and other CPU implementations in Clojure. Do you have any numbers for the same kernel being called from a native C openCL application? [1] ▶ this video
in “Interactive GPU Programming, Part 2: Hello OpenCL” · View on HN
tmpLispDec 2016Cites it
Data crunching on GPUs is a LISP strength. It runs code orders of magnitude faster than say python or c++. ▶ this video
in “The Idea of Lisp” · View on HN
Topics & tags
Functional programmingComputer architecture & CPUsMachine learning & deep learningclojuregpuopenclcudanumerical computing