The Nengo OCL team is delighted to announce the release of Nengo OpenCL 1.3.0.
What is Nengo OpenCL?
Nengo OpenCL is a backend for Nengo that uses the OpenCL framework to run large-scale neural models on CPUs, GPUs, and other OpenCL-capable platforms. Using the OpenCL backend can be orders of magnitude faster than the reference backend for large models.
How do I use it?
To use Nengo OpenCL, replace instances of
For example, if you have a network called
model and you run it with
with nengo.Simulator(model) as sim:
you would change that to
with nengo_ocl.Simulator(model) as sim:
and that’s it!
Nengo OpenCL 1.3.0 is a compatibility release, adding compatibility for the recently released Nengo 2.6.0.
This version of Nengo OpenCL also contains some bugfixes for issues that could occur when resetting a simulation after running it. To see the full list of changes in version 1.3, head to the Github release page.
How do I get it?
Installing Nengo OpenCL is more difficult than other parts of the Nengo ecosystem since OpenCL must be properly installed first. See our notes on installing OpenCL for assistance.
Once OpenCL is installed, use
pip install --upgrade nengo_ocl
If something goes wrong during the installation, which can happen due to differing OpenCL installs, refer to our installation notes for assistance.
Where can I learn more?
Where can I get help?
You’re already there! If you have an issue upgrading or have any other questions, please post them in this forum.