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A header-only parallel functions library for Intel Xeon/Xeon Phi/GPUs
C++ Cuda Python Makefile Shell
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How to Download

  1. Download source code with git by using a command: git clone https://github.com/lchsk/ney.git --recursive

(--recursive option will download submodules (Google Test, Thrust) into the thirdparty directory)

Compilation

In order to compile the library, a C++ compiler must be present. Intel C++ Compiler is advised (versions 14 and 15 were used) to exploit all features of the library. For testing purposes, GNU C++ Compiler (g++) may be used as well (at least version 4.6.3).

For compiling code for GPUs, please see paragraph Running examples on GPU

Note: the library is designed to work on Linux. Its behaviour on other systems is undefined. Testing was done on the following distributions: Ubuntu 14.04, Scientific Linux 6.3.

Running examples on CPU

  1. Enter downloaded directory
  2. make example
  3. cd examples
  4. Run a selected executable, e.g., ./saxpy

Running examples on GPU

Note that in order to run anything on the GPU, CUDA toolkit must be installed. It can be downloaded from https://developer.nvidia.com/cuda-toolkit

  1. Enter downloaded directory
  2. cd examples
  3. cd gpu
  4. make saxpy
  5. If you run the executable: ./saxpy, it will run on the GPU

Running tests

  1. Enter downloaded directory
  2. make && make tests
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