Parallel computations with OpenCL 2.0 in Clojure
High Performance Computing and GPGPU in Clojure: access the supercomputer on your desktop
Slides and video of the presentation at EuroClojure 2016
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OpenCL gives you access to many hardware optimizations.
It supports GPUs, CPUs, and other accelerators. On the GPU, it can be thousand times faster than pure Java. On the CPU, dozens of times faster than pure Java and several times faster than native C code.
Built with Clojure in mind. Sane interface and functions that fit into functional style while still respecting the reality of number crunching with OpenCL.
Closely follows OpenCL 2.0 specification.
ClojureCL code examples of the OpenCL in Action book.
Check out the Neanderthal native matrix library. You can use its source code as a real-world example of how to harness GPU power from Clojure.
Licensed under the Eclipse Public License, same as Clojure.
Check out the Neanderthal native matrix library. It is written in Clojure and uses ClojureCL in its GPU engine that runs matrix computations at amazing speeds.
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