I am pleased to announce a first public release of new *very fast *native 
matrix and linear algebra library for Clojure based on ATLAS BLAS.
Extensive *documentation* is at http://neanderthal.uncomplicate.org
See the benchmarks at 
http://neanderthal.uncomplicate.org/articles/benchmarks.html.

Neanderthal is a Clojure library that 

Main project goals are:

   - Be as fast as native ATLAS even for linear operations, with no copying 
   overhead. It is roughly 2x faster than jBLAS for large matrices, and tens 
   of times faster for small ones. Also faster than core.matrix for small and 
   large matrices!
   - Fit well into idiomatic Clojure - Clojure programmers should be able 
   to use and understand Neanderthal like any regular Clojure library.
   - Fit well into numerical computing literature - programmers should be 
   able to reuse existing widespread BLAS and LAPACK programming know-how and 
   easily translate it to Clojure code.

Implemented features
   
   - Data structures: double vector, double general dense matrix (GE);
   - BLAS Level 1, 2, and 3 routines;
   - Various Clojure vector and matrix functions (transpositions, 
   submatrices etc.);
   - Fast map, reduce and fold implementations for the provided structures.

On the TODO list
   
   - LAPACK routines;
   - Banded, symmetric, triangular, and sparse matrices;
   - Support for complex numbers;
   - Support for single-precision floats.


Call for help:
Everything you need for Linux is in Clojars. If you know your way around 
gcc on OS X, or around gcc and MinGW on Windows, and you are willing to 
help providing the binary builds for those (or other) systems, please 
contact me. There is an automatic build script, but gcc, atlas and other 
build tools need to be properly set up on those systems.

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