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submitted 11 months ago by maggoats@lemmy.world to c/canada@lemmy.ca
[-] maggoats@lemmy.world 1 points 1 year ago

The closest thing I've been able to find so far (which seems to have been under slow development by 1-2 contributors for the past couple years) is https://github.com/MPSQUARK/BAVCL which is based on ILGPU. I'll probably be keeping an eye on it though.

[-] maggoats@lemmy.world 2 points 1 year ago

Unfortunately I don't believe NumPy has any built in accelerations (other than being a C library which is fast already), though I don't really know the ins and outs. There are Python libraries that use the NumPy API or otherwise do some stuff to accelerate it on e.g. CUDA, but the Numpy.NET library as far as I know uses its own embedded Python + numpy, so as far as I can tell that wouldn't be an option.

[-] maggoats@lemmy.world 2 points 1 year ago

Unfortunately not, though I forgot about SIMD! It doesn't seem to support arbitrary-sized matrices or arrays out of the box, though I guess I could index the vector type myself. Still, it doesn't offer the operations I'd like, as far as I can tell.

Thanks though!

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Hi!

I'm looking for a C# library for matrix operations and preferably some linear algebra or optimization routines. Basically a NumPy/SciPy or PyTorch.

Ideally there'd be support for various backends (e.g. CPU, CUDA, OpenCL) for operations where possible.

As far as I can tell, there's Math.NET Numerics, Numpy.NET (which binds to Python's numpy), and NumSharp (which hasn't had commits since 2021), which seem to fit the bill mostly, though none are accelerated.

Otherwise, there are some libraries I've forgotten that seem to specifically target CUDA, which is too selective for my purpose. Maybe it was Hybridizer, which seems like its own compiler, which I'm not sure would work for me either.

There's also ComputeSharp which lets you write shaders directly in C#, though targets DirectX if I understand well.

The closest thing I've found is ILGPU, which seems brilliant since it JIT compiles kernels to CPU, CUDA, and OpenCL. The problem is I believe I'd need to write my own operations and kernels and essentially implement my own matrix compute library, though there seems to be some work on it, so maybe what I'm looking for is supported out of the box, minus optimization algorithms and so on.

Basically, does anyone have any pointers?

[-] maggoats@lemmy.world 4 points 1 year ago

Got an XPS 13 9350, works fine, bluetooth and all, though I upgraded Ubuntu and the kernel and the integrated webcam hasn't worked since, which I still don't really understand.

[-] maggoats@lemmy.world 3 points 1 year ago

This may not be relevant since I have a different gpu and am on Ubuntu, but when I installed proprietary drivers I didn't have display either because I was using a version of the driver that was too recent (whether due to dropped compatibility or a bug I don't know). An older one might work!

[-] maggoats@lemmy.world 4 points 1 year ago

Google en passant

[-] maggoats@lemmy.world 1 points 1 year ago

But certainly the proposed defederation isn't the same as suppressing utterance, considering there would remain a publicly accessible instance for that speech. This would be closer to keeping in check by public opinion, since it's the action of exterior social forces.

maggoats

joined 1 year ago