A GPU implementation of core.matrix. Very strong emphasis on asynchrnous data processing (aka, process the data on the background when the user is doing something else, blocks only when the user requests for the data).

Should be pretty self-explanatory:

native/
# The C CODE
java/
# The java class declarations. Source code here is almost empty 
# most declaration are simply calls to native methods.
# Matrices' type-checking (i.e dims checking) are done 
# in clojure instead
clojure/

Right now, there are 3 main classes:

• NDArray - NDimensional arrays
• Vector
• Matrix

All numbers are stored internally as double, overflows will not be checked. This should suffice most general matrix computations usages.

During development, libgpu-matrix.(so|dll|dylib) will be loaded from the src/native/ directory. In production, the shared library will be loaded dynamically from the shared resource using the gpu.matrix.LoaderUtils.loadLibrary static method. This methods resolves the relevant library from java.library.path and resources/native/<OS_NAME>/<ARCH_NAME>/ in the mentioned order. Throws an UnsatisfiedLinkError if the library cannot be found.

Conventions for native and clojure code are in the README in the relevant source code directories.