Hi All,

Pleased to announce the latest release of vectorz-clj, a high performance 
vector and matrix math implementation for Clojure.

GitHub site: https://github.com/mikera/vectorz-clj
Clojars: https://clojars.org/net.mikera/vectorz-clj

Key features:

a) 100% pure JVM code (no native libraries required)
b) Supports a clean, functional, idiomatic style of vector and matrix maths 
in Clojure
c) Currently the most complete implementation of the "core.matrix" API for 
Clojure numerics
d) Very fast - designed for games, simulations, machine learning 
applications etc.

For an idea of performance, it is worth comparing with regular Clojure 
vectors:

  (let [a [1 2 3 4 5 6 7 8 9 10]
        b [1 2 3 4 5 6 7 8 9 10]]
    (c/quick-bench (dotimes [i 1000] (vec (map clojure.core/+ a b)))))  
  ;; => Execution time mean per addition : 1221 ns

Using vectorz-clj to do the same additions is about 15-20x faster:

  (let [a (matrix :vectorz [1 2 3 4 5 6 7 8 9 10])
        b (matrix :vectorz [1 2 3 4 5 6 7 8 9 10])]
    (c/quick-bench (dotimes [i 1000] (+ a b))))
  ;; => Execution time mean per addition: 68 ns

If you are willing to abandon immutability and use mutable vectors, you can 
go faster still:

  (let [a (matrix :vectorz [1 2 3 4 5 6 7 8 9 10])
        b (matrix :vectorz [1 2 3 4 5 6 7 8 9 10])]
    (c/quick-bench (dotimes [i 1000] (add! a b))))
  ;; => Execution time mean per addition: 31 ns

This is all still very much in early development, so feedback / ideas / 
code contributions all very welcome!

  Mike.

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