Source:Reddit 97 CommentsonAMD Cripples Older GCN GPUs of Async-Compute Support? 1to25of97Go to Page1234PreviousNext #1 dj-electric I would like the title not to ask it, but for w1z or users to confirm it #2 Rej
Then i post on Reddit. After that, many ask me to test a game that support Async Compute on GCN 1.0. So i tried Ashes Of Singularity. You know the end. That just confirm that Async Compute was disabled on news drivers. Old drivers performs way better because of Async Compute...
autofactorial(std::string_view name,intnumber) -> Task<int> {intr =1;for(inti =2; i <= number; ++i) {fmt::print("Task {}: Compute factorial({}), currently i={}...\n", name, number, i);co_awaitasyncio::sleep(500ms); r *= i; }fmt::print("Task {}: factorial({}) ...
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https://www.reddit.com/r/StableDiffusion/comments/134z26p/xformers/ https://huggingface.co/CompVis/stable-diffusion-safety-checker/discussions/38 Maybe my CUDA 121 (orCUDA Version: 12.2according to nvidia-smi) or my PyTorch version is too new?
This makes it absolutely interesting because the kikstarter price is very hot for 6 or 8 bay systems with this compute power, features, NIC speeds and interfaces. Its a software based NAS, this means the drives are physically only JBOD (which is good for ZFS and maybe others). BUT: If ...
(3), currently i=2... Task C: Compute factorial(4), currently i=2... this is a void value Task C: Compute factorial(4), currently i=3... Task A: factorial(2) = 2 Task B: Compute factorial(3), currently i=3... Task B: factorial(3) = 6 Task C: Compute factorial(4), ...