Installation — Anaconda Enterprise 4.4 documentation

Anaconda Enterprise: Documentation

# Installation

NumbaPro is part of the Anaconda Accelerate product. Please refer to the Anaconda Accelerate Documentation for instructions on downloading and installation.

## Purchasing a License

Accelerate is included with Anaconda Workgroup and Anaconda Enterprise subscriptions.

To start a 30-day free trial just download and install the Anaconda Accelerate package.

If you already have Anaconda (free Python distribution) installed:

    conda update conda
    conda install accelerate

If you do not have Anaconda installed, you can download it here.

Anaconda Accelerate can also be installed into your own (non-Anaconda) Python environment. For more information about Accelerate please contact sales@anaconda.com.

## Update Instructions

With Anaconda Accelerate already installed, first update the conda package management tool to the latest version, then use conda to update the NumbaPro module. In the terminal:

    $ conda update conda
    $ conda update numbapro

## CUDA GPUs Setup

### CUDA Driver

NumbaPro does not ship the CUDA driver. It is users responsibility to ensure their systems are using the latest driver. Currently, users should use the driver shipped with CUDA 5.5 SDK.

### CUDA Support & Detection

NumbaPro GPU support currently requires NVIDIA CUDA GPUs with compute-capability 2.0 or above. Users should check their hardware with the following:

    import numbapro
    numbapro.check_cuda()

A sample output looks like:

    ------------------------------libraries detection-------------------------------
    Finding cublas
        located at /Users/.../lib/libcublas.dylib
    Finding cusparse
        located at /Users/.../lib/libcusparse.dylib
    Finding cufft
        located at /Users/.../lib/libcufft.dylib
    Finding curand
        located at /Users/.../lib/libcurand.dylib
    Finding nvvm
        located at /Users/.../lib/libnvvm.dylib
    In /Users/.../lib
        finding libdevice.compute_20.bc         ok
        finding libdevice.compute_30.bc         ok
        finding libdevice.compute_35.bc         ok
    -------------------------------hardware detection-------------------------------
    Found 1 CUDA devices
    id 0         GeForce GT 650M                              [SUPPORTED]
                          compute capability: 3.0
                               pci device id: 0
                                  pci bus id: 1
    Summary:
        1/1 devices are supported

This performs CUDA library and GPU detection. Discovered GPUs are listed with information for compute capability and whether it is supported by NumbaPro.

The message “cuda disabled by user” means that either the environment variable NUMBA_DISABLE_CUDA is set to 1 and must be set to 0, or the system is 32-bit. CUDA does not support 32-bit systems.