▲ 196 ▼ Developer Explains Why Explicit Sync Will Finally Solve the NVIDIA/Wayland Issues (9to5linux.com) submitted 2 years ago by petsoi@discuss.tchncs.de to c/linux@lemmy.ml 41 comments fedilink hide all child comments
[–] cbarrick@lemmy.world 46 points 2 years ago (2 children) Unfortunately, those of us doing scientific compute don't have a real alternative. ROCm just isn't as widely supported as CUDA, and neither is Vulkan for GPGPU use cases. AMD dropped the ball on GPGPU, and Nvidia is eating their lunch. Linux desktop users be damned. permalink fedilink source parent hideshow 4 child comments replies: [–] TropicalDingdong@lemmy.world 10 points 2 years ago (1 child) yep yep and yep. and they've been eating their lunch so long at this point I've given up on that changing. The new world stands in cuda and that's just the way it is. I don't really want an nVidia, radeon seems far better for price to performance . Except I can justify an nVidia for work. I can't justify a radeon for work. permalink fedilink source parent hideshow 2 child comments replies: [–] cbarrick@lemmy.world 11 points 2 years ago (2 children) Long term, I expect Vulkan to be the replacement to CUDA. ROCm isn't going anywhere... We just need fundamental Vulkan libraries to be developed that can replace the CUDA equivalents. cuFFT -> vkFFT (this definitely exists) cuBLAS -> vkBLAS (is anyone working on this?) cuDNN -> vkDNN (this definitely doesn't exist) At that point, adding Vulkan support to XLA (Jax and TensorFlow) or ATen (PyTorch) wouldn't be that difficult. permalink fedilink source parent hideshow 4 child comments replies: [–] DarkenLM@kbin.social 18 points 2 years ago wouldn't be that difficult. The amount of times I said that only to be quickly proven wrong by the fundamental forces of existence is the reason that's going to be written on my tombstone. permalink fedilink source parent [–] TropicalDingdong@lemmy.world 3 points 2 years ago (1 child) I think. it's just path stickiness at this point. CUDA works and then you can ignore it's existence and do the thing you actually care about. ML in the pre CUDA days was painful. CUDA makes it not painful. Asking people to return to painfully.. Good luck.. permalink fedilink source parent hideshow 2 child comments replies: [–] cbarrick@lemmy.world 8 points 2 years ago* (1 child) Yeah, but I want both GPU compute and Wayland for my desktop. permalink fedilink source parent hideshow 2 child comments replies: [–] ManniSturgis@lemmy.zip 2 points 2 years ago Hybrid graphics. Works for me. permalink fedilink source parent [–] urbanxs@lemmy.ml 4 points 2 years ago (1 child) I find it eerly odd how amd seems to almost intetionally stay out nvidia’s way in terms of cuda and couple other things. I dont wish to speculate but considering how ai is having a blowout yet AMD is basically not even trying, it feels as if the nvidia ceo beying cousins with amd’s ceo has something to do with it. Maybe i am reading too much into it but there’s something going on. Why would amd leave so much money on the table? permalink fedilink source parent hideshow 2 child comments replies: [–] dust_accelerator@discuss.tchncs.de 2 points 2 years ago Bubbles tend to pop sometimes. permalink fedilink source parent
[–] TropicalDingdong@lemmy.world 10 points 2 years ago (1 child) yep yep and yep. and they've been eating their lunch so long at this point I've given up on that changing. The new world stands in cuda and that's just the way it is. I don't really want an nVidia, radeon seems far better for price to performance . Except I can justify an nVidia for work. I can't justify a radeon for work. permalink fedilink source parent hideshow 2 child comments replies: [–] cbarrick@lemmy.world 11 points 2 years ago (2 children) Long term, I expect Vulkan to be the replacement to CUDA. ROCm isn't going anywhere... We just need fundamental Vulkan libraries to be developed that can replace the CUDA equivalents. cuFFT -> vkFFT (this definitely exists) cuBLAS -> vkBLAS (is anyone working on this?) cuDNN -> vkDNN (this definitely doesn't exist) At that point, adding Vulkan support to XLA (Jax and TensorFlow) or ATen (PyTorch) wouldn't be that difficult. permalink fedilink source parent hideshow 4 child comments replies: [–] DarkenLM@kbin.social 18 points 2 years ago wouldn't be that difficult. The amount of times I said that only to be quickly proven wrong by the fundamental forces of existence is the reason that's going to be written on my tombstone. permalink fedilink source parent [–] TropicalDingdong@lemmy.world 3 points 2 years ago (1 child) I think. it's just path stickiness at this point. CUDA works and then you can ignore it's existence and do the thing you actually care about. ML in the pre CUDA days was painful. CUDA makes it not painful. Asking people to return to painfully.. Good luck.. permalink fedilink source parent hideshow 2 child comments replies: [–] cbarrick@lemmy.world 8 points 2 years ago* (1 child) Yeah, but I want both GPU compute and Wayland for my desktop. permalink fedilink source parent hideshow 2 child comments replies: [–] ManniSturgis@lemmy.zip 2 points 2 years ago Hybrid graphics. Works for me. permalink fedilink source parent
[–] cbarrick@lemmy.world 11 points 2 years ago (2 children) Long term, I expect Vulkan to be the replacement to CUDA. ROCm isn't going anywhere... We just need fundamental Vulkan libraries to be developed that can replace the CUDA equivalents. cuFFT -> vkFFT (this definitely exists) cuBLAS -> vkBLAS (is anyone working on this?) cuDNN -> vkDNN (this definitely doesn't exist) At that point, adding Vulkan support to XLA (Jax and TensorFlow) or ATen (PyTorch) wouldn't be that difficult. permalink fedilink source parent hideshow 4 child comments replies: [–] DarkenLM@kbin.social 18 points 2 years ago wouldn't be that difficult. The amount of times I said that only to be quickly proven wrong by the fundamental forces of existence is the reason that's going to be written on my tombstone. permalink fedilink source parent [–] TropicalDingdong@lemmy.world 3 points 2 years ago (1 child) I think. it's just path stickiness at this point. CUDA works and then you can ignore it's existence and do the thing you actually care about. ML in the pre CUDA days was painful. CUDA makes it not painful. Asking people to return to painfully.. Good luck.. permalink fedilink source parent hideshow 2 child comments replies: [–] cbarrick@lemmy.world 8 points 2 years ago* (1 child) Yeah, but I want both GPU compute and Wayland for my desktop. permalink fedilink source parent hideshow 2 child comments replies: [–] ManniSturgis@lemmy.zip 2 points 2 years ago Hybrid graphics. Works for me. permalink fedilink source parent
[–] DarkenLM@kbin.social 18 points 2 years ago wouldn't be that difficult. The amount of times I said that only to be quickly proven wrong by the fundamental forces of existence is the reason that's going to be written on my tombstone. permalink fedilink source parent
[–] TropicalDingdong@lemmy.world 3 points 2 years ago (1 child) I think. it's just path stickiness at this point. CUDA works and then you can ignore it's existence and do the thing you actually care about. ML in the pre CUDA days was painful. CUDA makes it not painful. Asking people to return to painfully.. Good luck.. permalink fedilink source parent hideshow 2 child comments replies: [–] cbarrick@lemmy.world 8 points 2 years ago* (1 child) Yeah, but I want both GPU compute and Wayland for my desktop. permalink fedilink source parent hideshow 2 child comments replies: [–] ManniSturgis@lemmy.zip 2 points 2 years ago Hybrid graphics. Works for me. permalink fedilink source parent
[–] cbarrick@lemmy.world 8 points 2 years ago* (1 child) Yeah, but I want both GPU compute and Wayland for my desktop. permalink fedilink source parent hideshow 2 child comments replies: [–] ManniSturgis@lemmy.zip 2 points 2 years ago Hybrid graphics. Works for me. permalink fedilink source parent
[–] ManniSturgis@lemmy.zip 2 points 2 years ago Hybrid graphics. Works for me. permalink fedilink source parent
[–] urbanxs@lemmy.ml 4 points 2 years ago (1 child) I find it eerly odd how amd seems to almost intetionally stay out nvidia’s way in terms of cuda and couple other things. I dont wish to speculate but considering how ai is having a blowout yet AMD is basically not even trying, it feels as if the nvidia ceo beying cousins with amd’s ceo has something to do with it. Maybe i am reading too much into it but there’s something going on. Why would amd leave so much money on the table? permalink fedilink source parent hideshow 2 child comments replies: [–] dust_accelerator@discuss.tchncs.de 2 points 2 years ago Bubbles tend to pop sometimes. permalink fedilink source parent
[–] dust_accelerator@discuss.tchncs.de 2 points 2 years ago Bubbles tend to pop sometimes. permalink fedilink source parent