Fast native-speed matrix and linear algebra in Clojure
Very Fast
On the GPU: almost 3000x faster for large matrices than optimized Clojure/Java libraries!
On the CPU: 100x faster than optimized pure Java.
Works on AMD, Nvidia, and Intel hardware!
Optimized for Clojure
Built with Clojure in mind, and implemented in Clojure.
Sane interface and functions that fit into functional style while still respecting the reality of number crunching.
Comes with fast primitive versions of map and reduce.
Pluggable engine implementations - even a pure Java engine could be plugged in for the cases when speed is not the priority.
BLAS and LAPACK
Does not try to poorly reinvent the wheel. Respects decades of BLAS and LAPACK standardization. Does the number crunching part with native BLAS and/or GPU, but provides a tiny Clojure layer for sanity. Win-win :)
Latest News
LAPACK support available: factorizations and solvers!
GPU engine supports AMD, Nvidia, Intel, and Mac OSX!
I hang around at Uncomplicate group at Slack's ClojuriansRead more at dragan.rocks
Follow the news on the Uncomplicate mailing list or @Uncomplicateorg and @draganrocks Twitter accounts.
Reusable literature.
The code and theory from existing books, articles and tutorials for numeric linear algebra computations is BLAS and LAPACK centered and can be used with Neanderthal.
Comes with a fully documented API, and a bunch of tutorials.