TclOpenCL provides both low-level and higher-level access to OpenCL 1.2+ APIs via SWIG and a TclOO wrapper.
THIS IS PROBABLY NOT USEFUL TO YOU YET
Building TclOpenCL on Windows is a bit of a pain. You can download binary releases on GitHub. These have been verified to work with ActiveTcl 8.6 on 64-bit Windows 10 and the NVIDIA platform.
TclOpenCL requires VecTcl and an OpenCL implementation for your platform. Hacking on TclOpenCL requires SWIG.
- NVIDIA: Install the NVIDIA CUDA SDK
- AMD: Install the AMD Accelerated Parallel Processing SDK
- Intel CPU, HD Graphics, and Iris Graphics: Find the Intel OpenCL Drivers for your CPU and iGPU
Once that's installed, git clone https://github.com/alpha123/TclOpenCL and do
the standard ./configure; make install. You may need to play with the
--with-opencl=path/to/opencl/lib/dir configure flag on Windows. Type
./configure --help to see other flags.
What works:
- Create and query OpenCL devices and platforms
- Create command queues, contexts, and memory buffers
- Build OpenCL programs and query kernels
- Pass arguments to kernels and run them
- Do all of the above from a TclOO interface
What kind of works:
- Create memory buffers from VecTcl arrays
- Call kernels with VecTcl arrays as arguments
What doesn't work:
- Copy buffers back to VecTcl arrays....
- Fully asynchronous APIs based on OpenCL events
- A more pleasant way of managing workgroups
- A higher-level DSL for defining and running kernels