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sasmodels/doc/guide/gpu_setup.rst
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GPU Setup
OpenCL Installation
Warning! GPU devices do not in general offer the same level of memory protection as CPU devices. If your code attempts to write outside allocated memory buffers unpredicatable behaviour may result (eg, your video display may freeze, or your system may crash, etc). Do not install OpenCL drivers without first checking for known issues (eg, some computer manufacturers install modified graphics drivers so replacing these may not be a good idea!). If in doubt, seek advice from an IT professional before proceeding further.
Check if you have OpenCL already installed
Windows
The following instructions are based on http://web.engr.oregonstate.edu/~mjb/cs475/DoIHaveOpenCL.pdf
- Go to: Start -> Control Panel -> System & Security -> Administrative Tools
- Double Click on Computer Managment
- Click on Device Manager
- Click open Display Adapters
- Right-click on available adapter and select Properties
- Click on Driver
- Go to Driver Details
- Scroll down and see if OpenCL is installed (look for OpenCL*.dll files)
Mac OSX
For OS X operating systems higher than 10.6 OpenCL is shipped along with the system.
However, OpenCL has had a rocky history on Macs. Apple provide a useful compatibility table at https://support.apple.com/en-us/HT202823
Installation
Windows
Depending on the graphic card in your system, drivers can be obtained from different sources:
- NVIDIA: https://developer.nvidia.com/opencl
- AMD: http://developer.amd.com/tools-and-sdks/opencl-zone/
Mac OSX
N/A
You cannot download OpenCL driver updates for your Mac. They are packaged with the normal quarterly OS X updates from Apple.
Note
Intel provides OpenCL drivers for Intel processors at https://software.intel.com/en-us/articles/opencl-drivers These can sometimes make use of special vector instructions across multiple processors, so it is worth installing if the GPU does not support double precision. You can install this driver alongside the GPU driver for NVIDIA or AMD.
GPU Selection
SAS model evaluations can run on your graphics card (GPU) or they can run on the processor (CPU). In general, calculations performed on the GPU will run faster.
To run on the GPU, your computer must have OpenCL drivers installed. For information about OpenCL installation see this :ref:`opencl-installation` guidance.
Where the model is evaluated is a little bit complicated. If the model has the line single=False then it requires double precision. If the GPU is single precision only, then it will try running via OpenCL on the CPU. If the OpenCL driver is not available for the CPU then it will run as a normal program on the CPU.
For models with a large number of parameters or with a lot of code, the GPU may be too small to run the program effectively. In this case, you should try simplifying the model, maybe breaking it into several different modules so that you don't need IF statements in your code. If it is still too big, you can set opencl=False in the model file and the model will only run as a normal program on the CPU. This will not usually be necessary.
Device Selection
If you have multiple GPU devices you can tell the program which device to use. By default, the program looks for one GPU and one CPU device from available OpenCL platforms. It prefers AMD or NVIDIA drivers for GPU, and prefers Intel or Apple drivers for CPU. Both GPU and CPU are included on the assumption that CPU is always available and supports double precision.
The device order is important: GPU is checked before CPU on the assumption that it will be faster. By examining ~/sasview.log you can see which device was used to run the model.
If you don't want to use OpenCL, you can set SAS_OPENCL=None in your environment settings, and it will only use normal programs.
If you want to use one of the other devices, you can run the following from the python console:
import pyopencl as cl cl.create_some_context()
This will provide a menu of different OpenCL drivers available. When one is selected, it will say "set PYOPENCL_CTX=..." Use that value as the value of SAS_OPENCL.
Device Testing
Unfortunately, not all vendors provide working OpenCL implementations for their GPU devices. For example, the HD 6000 Intel GPUs with double precision support fail for some of the double precision models.
The SasView user interface provides a Fitting OpenCL Options dialog for selecting amongst and testing the available devices. After a few minutes of seeming to freeze, the application will return a list of model tests which have passed. The same tests can be run directly from the python console using:
from sasmodels.model_tests import main as model_tests
model_tests("-v", "opencl", "all")
Compiler Selection
For models run as normal programs, you may need to specify a compiler. This is done using the SAS_COMPILER environment variable, and the SAS_OPENMP environment variable if OpenMP support is available for the compiler.
On Windows, set SASCOMPILER=tinycc for the tinycc compiler, SASCOMPILER=msvc for the Microsoft Visual C compiler, or SASCOMPILER=mingw for the MinGW compiler. If TinyCC is available on the python path (it is provided with SasView), that will be the default. If you want one of the other compilers, be sure to have it available in your PATH so we can find it!
On Mac OS/X and Linux, set SAS_COMPILER=unix for the compiler. This will use the unix cc command to compile the model, with gcc style command line options. For OS/X you will need to install the Xcode package to make the compiler available.
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