cu
Package cu
is a package that interfaces with the CUDA Driver API. This package was directly inspired by Arne Vansteenkiste's cu
package.
Why Write This Package?
The main reason why this package was written (as opposed to just using the already-excellent cu
package) was because of errors. Specifically, the main difference between this package and Arne's package is that this package returns errors instead of panicking.
Additionally another goal for this package is to have an idiomatic interface for CUDA. For example, instead of exposing cuCtxCreate
to be CtxCreate
, a nicer, more idiomatic name MakeContext
is used. The primary goal is to make calling the CUDA API as comfortable as calling Go functions or methods. Additional convenience functions and methods are also created in this package in the pursuit of that goal.
Lastly, this package uses the latest CUDA toolkit whereas the original package cu
uses a number of deprecated APIs.
Installation
This package is go-gettable: go get -u gorgonia.org/cu
This package mostly depends on built-in packages. There are two external dependencies:
- errors, which is licenced under a MIT-like licence. This package is used for wrapping errors and providing a debug trail.
- assert, which is licenced under a MIT-like licence. This package is used for quick and easy testing.
However, package cu
DOES depend on one major external dependency: CUDA. Specifically, it requires the CUDA driver. Thankfully nvidia has made this rather simple - everything that is required can be installed with one click: CUDA Toolkit.
To verify that this library works, install and run the cudatest
program, which accompanies this package:
go install gorgonia.org/cu/cmd/cudatest@latest
cudatest
You should see something like this if successful:
CUDA version: 10020
CUDA devices: 1
Device 0
========
Name : "TITAN RTX"
Clock Rate: 1770000 kHz
Memory : 25393561600 bytes
Compute : 7.5
Windows
To setup CUDA in Windows:
- Install CUDA Toolkit
- Add
%CUDA_PATH%/bin
to your%PATH%
environment variable (runningnvcc
from console should work) - Make a symlink
mklink /D C:\cuda "c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA"
(alternatively, install CUDA toolkit toC:\cuda\
)
To setup the compiler:
- Install MSYS2 (see https://www.msys2.org/)
- In
c:\msys64\msys2_shell.cmd
uncomment the line withset MSYS2_PATH_TYPE=inherit
(this makes Windows PATH variable visible) - Install
go
in MSYS2 (64 bit) withpacman -S go
FAQ
Here is a common list of problems that you may encounter.
ld: cannot find -lcuda (Linux)
Checklist:
- Installed CUDA and applied the relevant post-installation steps?
- Checked that the sample programs in the CUDA install all works?
- Checked the output of
ld -lcuda --verbose
? - Checked that there is a
libcuda.so
in the given search paths? - Checked that the permissions on
libcuda.so
is correct?
Note, depending on how you install CUDA on Linux, sometimes the .so
file is not properly linked. For example: in CUDA 10.2 on Ubuntu, the default .deb
installation installs the shared object file to /usr/lib/x86_64-linux-gnu/libcuda.so.1
. However ld
searches only for libcuda.so
. So the solution is to symlink libcuda.so.1
to libcuda.so
, like so:
sudo ln -s /PATH/TO/libcuda.so.1 /PATH/TO/libcuda.so
Be careful when using ln
. This author spent several hours being tripped up by permissions issues.
Progress
The work to fully represent the CUDA Driver API is a work in progress. At the moment, it is not complete. However, most of the API that are required for GPGPU purposes are complete. None of the texture, surface and graphics related APIs are handled yet. Please feel free to send a pull request.
Roadmap
- Remaining API to be ported over
- All texture, surface and graphics related API have an equivalent Go prototype.
- Batching of common operations (see for example
Device.Attributes(...)
- Generic queueing/batching of API calls (by some definition of generic)
Contributing
This author loves pull requests from everyone. Here's how to contribute to this package:
- Fork then clone this repo:
git clone [email protected]:YOUR_USERNAME/cu.git
- Work on your edits.
- Commit with a good commit message.
- Push to your fork then submit a pull request.
We understand that this package is an interfacing package with a third party API. As such, tests may not always be viable. However, please do try to include as much tests as possible.
Licence
The package is licenced with a MIT-like licence. Ther is one file (cgoflags.go
) where code is directly copied and two files (execution.go
and memory.go
) where code was partially copied from Arne Vansteenkiste's package, which is unlicenced (but to be safe, just assume a GPL-like licence, as mumax/3 is licenced under GPL).