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> It’s not just that it’s immature software, they need to change how they do development. I remember geohot saying something similar about a year ago
by the_king 2y ago
> It’s not just that it’s immature software, they need to change how they do development.
I remember geohot saying something similar about a year ago
- delusional 2y ago"The software needs to be better" is (and was) an easy call to make for anyone paying attention. The problem is that "AMD just needs to do better" is not and will never be an implementable strategy. Engineering isn't just about money. It's also about the process of exploring all the edge cases. "We recommend that AMD to fix their GEMM libraries’ heuristic model such that it picks the correct algorithm out of the box instead of wasting the end user’s time doing tuning on their end." Is such a profoundly unhelpful thing to say unless you imagine AMDs engineers just sitting around wondering what to do all day. AMD needs to make their drivers better, and they have. Shit just takes time.
- the_king 2y agoSounds more like they were (and still are) being sloppy. “be better” is one thing. “runs without fatal crash” is what semi is talking about.
- cruunchMuncher 2y ago[dead]
- nabla9 2y agoIn buggy numerical code many bugs go trough the software stack without any problems. No crash, no errors. For example,you might switch two double parameters to a function and if their value range is similar, everything works fine except it's all bullshit. If there are bugs in AMD code that prevent running tests, I bet there are even more bugs that don't manifest until you look at results.
- roenxi 2y agoI expect everyone has been saying it for a while, the calls are just getting more strident and public as it becomes clear that AMD's failures are strategic rather than tactical. And as people try to build business on their half-hearted attempts. I still think it is a mistake to say that CUDA is a moat. IMO the problem here is that AMD still doesn't seem to think that GPGPU compute is a thing. They don't seem to understand the idea that someone might want to use their graphics cards to multiply matricies independently of a graphics pipeline. All the features CUDA supports are irrelevant compared to the fact that AMD can't handle GEMM performantly out of the box. In my experience it just can't do it, back in the day my attempts to multiply matrices would crash drivers. That isn't a moat, but it certainly is something spectacular. If they could manage an engineering process that delivered good GEMM performance then the other stuff can probably get handled. But without it there really is a question of what these cards are for.
- ryao 2y agoI wonder to what extent vulkan compute could be used for this. Of course, it is only an option on their RDNA GPUs since CDNA is not for graphics, even though that is the G in GPU.
- Fronzie 2y agoThere has been some testing within llama.cpp, which supports both Vulkan and ROCM-Blas. When it works, the latter is about 2x faster than the Vulkan version.
- pjmlp 2y agoUnless it provides the polyglot capabilities of CUDA, and related IDE and graphical debugging capabilities, not really.
- schmidtleonard 2y agoYeah, 80% margins on matrix multiplication should be a puddle not a moat but AMD is more scared of water than the witch that melts in Wizard of Oz so I guess the puddle is a moat after all.
- dogma1138 2y agoAnyone who looks at the mess that is ROCm and the design choices they made could easily see that. GPU support lagged behind for years, no support for APUs and no guaranteed forward compatibility were clear signs that as a whole they have no idea what they are doing when it comes to building and shipping a software ecosystem. To that you can add the long history of both AMD and ATI before they merged releasing dog shit software and then dropping support for it. On the other hand you can take any CUDA binary even one that dates back to the original Tesla and run it on any modern NVIDIA GPU.
- almostgotcaught 2y ago> On the other hand you can take any CUDA binary even one that dates back to the original Tesla and run it on any modern NVIDIA GPU This particular difference stems the fact that NVIDIA has PTX and AMD does not have any such thing. Ie this kind of backwards compatibility will never be possible on AMD.
- dogma1138 2y agoBackward compatibility is one thing but not having a forward compatibility is a killer. Having to create a binary that targets a very specific set of hardware and having no guarantees and in fact having a guarantee that it won’t on future hardware is what make ROCM unusable for anything you intend to ship. What’s worse is that they also drop support for their GPUs faster than Leo drops support for his girlfriends once they reach 25… So not only that you have to recompile there is no guarantee that your code would work with future versions of ROCM or that future versions of ROCM could still produce binaries which are compatible with your older hardware. Like how is this not the first design goal to address when you are building a CUDA competitor I don’t fucking know.
- almostgotcaught 2y ago> Like how is this not the first design goal to address when you are building a CUDA competitor I don’t fucking know. The words "tech debt" do not have any meaning at AMD. No one understands why this is a problem.