Great work! On Monday, November 12, 2018 at 9:46:14 AM UTC-6, Chris Nuernberger wrote: > > Clojurians, we are happy to put forth our work bringing the TVM compiler > and infrastructure to clojure. It has backends for ARM, Intel, OpenCV, > Cuda, OpenGL, Vulkan, ROCm, and more. > > This system is currently getting state of the art performance several deep > learning kernels and I demonstrate it getting great performance (usually > beating by a sound margin but not always) as compared to hand optimized > code in OpenCV. > > Utilizing years of experience writing doing HPC and GPGPU programming, we > researched the best way to integrate clojure at a low level with one of the > major NN toolkits. We didn't want to sit on top of them alone because we > believe the underlying technology is useful in a broader context and we > believe that Clojure should be a first class citizen in these ecosystems. > > So we spent roughly the last 6 months working on and off in infrastructure > and support systems and you saw an example of the result earlier this year > with the opencv bindings. > > So, with no further ado: > > 1. Light description of the overall compiler architecture and theory: > http://techascent.com/blog/high-performance-compilers.html > > 2. Example of using the compiler: > http://techascent.com/blog/tvm-for-the-win.html > > 3. Github project (with lots of links to more material): > https://github.com/tech-ascent/tvm-clj > > Happy Monday from snowy Boulder, Colorado :-) >
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