Viewing profile — mschuetz

What do you mean "why"? Setting up and tinkering with systems is work I loathe to do, obviously. I want to code, not host coding repositories. I did it in the past because I had to…

But I don't want to have to do this kind of work, you're only listing disadvantages from my viewpoint.

Well, yeah, I am. It's not something I want to have to care about. I want to code, not host code repos.

Except anything I'd self host would be down much more often. I've hardly ever actually experienced down time issues with github when I needed it.

I wouldnt recommend anyone going to Vulkan, though. It's pretty much the worst graphics API out there, and WebGPU is mimicking outdated Vulkan design decisions that even Vulkan is …

WebGPU is newer, but lacks modern functionality because it was made to support ancient smartphones. That's great if you want to support ancient smartphones, but not if you want to …

Of course it is a skill issue, I'm not afraid of admitting I'm not smart enough for Vulkan. That so many people have skill issues is the reason why Cuda trumps and will continue to…

It absolutely isn't. After having spent 5 days not getting anything done in Vulkan, and being able to implement that same thing in a single day in Cuda (no prior experience in eith…

On the contrary, it's great. Cuda is the single sane compute API and system, so I'll use it even if it means being vendor-locked. If my CUDA programs start running elsewhere withou…

They really don't, no. Vulkan: 50 lines to allocate device memory. Cuda: One single line. What kind of extensive documentation stack do you want for functionality that is trivial i…

A couple of years ago I evaluated both Vulkan and Cuda as a choice for future projects. I couldnt get anything done after a week in Vulkan, but had the test prototype project worki…

> 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 develo…

> unimportant implementation detail that should be assessed on performance alone rather than usability I disagree. Usability is important, or you end up with garbage like Vulkan. I…

Having participated in many studies, I lost much faith in studies. You could study the same thing, and get opposite results depending on how you build the study, which people parti…

That's exactly the one I'm really satisfied with.

That was an interesting read. Also enjoyed reading about the semaphores in the default stream. It's great that cuda implicitly handles syncing of commands for users and makes paral…

I like the driver API because it allows treating Cuda kernels like hot-reloadable shaders. It's fun to develop while being able to change the code at runtime.

For me, the 20€/months subscriptions were always sufficient, and it's nice if that subscription give the latest and greatest results.

I haven't tried the latest Codex but I switched from GPT to Claude because I think Claude writes much better Code. GPT's code ends up way more verbose/complex/overengineered than i…

I've always considered shared_ptr to be semi-garbage collection. Allows me to code C++ almost as if it were Java so long as circular references are avoided. I'm perfectly fine with…

You're skillfully dodging the point: Trilinear filtering is in no way an "ideal" alternative. It has worse quality than something like a Lanczos filter, and it requires computing i…

Trilinear requires an image pyramid. Without downsampling to create that image pyramid, you can't even do trilinear sampling, so your argument strikes me as odd and circular. Like …

OpenCL isn't nice to use and lacks tons of quality of life features. I wouldn't use it, even if it was double as fast as CUDA.

Sure is, but there is nothing stopping AMD or Intel from building a working alternative to CUDA, so how is it anti-competitive? The problem with OpenCL, Sycl, ROC, etc. is that the…

The magic is that CUDA actually works well. There is no reason to pick OpenCL, ROCm, Sycl or others if you get a 10x better developer experience with CUDA.