| ▲ | pjmlp 2 hours ago |
| Most of these "alternatives" focus on CUDA C++, and overlook what actually makes CUDA interesting. Already in 2020, https://developer.nvidia.com/blog/cuda-refresher-the-gpu-com... |
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| ▲ | mschuetz 33 minutes ago | parent | next [-] |
| > Ease of programming and a giant leap in performance is one of the key reasons for the CUDA platform’s widespread adoption This, so much. Other platforms continue to ignore developer UX, but it's one of the main things that get's new users onboard and keeps old users around. |
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| ▲ | msond 2 hours ago | parent | prev [-] |
| We're actually targeting all of it, and not just CUDA C++. |
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| ▲ | pjmlp 2 hours ago | parent | next [-] | | Including stuff like Fortran, Haskell, Java, .NET via PTX, Python JIT, IDE tooling integration with major IDEs, graphical GPU debugging and profiling, libraries and co? Then I guess all the best. | | |
| ▲ | zorked an hour ago | parent [-] | | This post has some serious peanut-gallery vibes. | | |
| ▲ | pjmlp an hour ago | parent [-] | | Peanut-gallery is happily using CUDA, and needs actual sound reasons to move. |
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| ▲ | embedding-shape 2 hours ago | parent | prev [-] | | Ambitions but neat, good luck if nothing else :) If you were to guess, when do you think your Nsight Compute alternative might be ready with your own toolchain? | | |
| ▲ | msond 22 minutes ago | parent [-] | | A guess would be some time next year — since our public launch our focus has generally been on API coverage and increasingly recently, on performance. While performance improvements will always remain a target, we're soon at full coverage of the core CUDA APIs and will be shifting an increasing amount of effort towards developer tooling. |
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