Migrating by blog here

I'm moving my blog from LJ to blogspot, because people keep telling me LJ is up to no go, like hacking DNC servers and interfering in elections.

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Fedora 38 LLVM vs Team Fortress 2 (TF2)

F38 just released and seeing a bunch of people complain that TF2 dies on AMD or other platforms when lavapipe is installed. Who's at fault? I've no real idea. How to fix it? I've no real idea. What's happening? AMD OpenGL drivers use LLVM as the backend compiler. Fedora 38 updated to LLVM 16. LLVM 16 is built with c++17 by default. C++17 introduces new "operator new/delete" interfaces[1]. TF2 ships with it's own libtcmalloc_minimal.so implementation, tcmalloc expects to replace all the new/delete interfaces, but the version in TF2 must not support or had incorrect support for the new align interfaces. What happens is when TF2 probes OpenGL and LLVM is loaded, when DenseMap initializes, one "new" path fails to go into tcmalloc, but the "delete" path does, and this causes tcmalloc to explode with "src/tcmalloc.cc:278] Attempt to free invalid pointer" Fixing it? I'll talk to Valve and see if we can work out something, LLVM 16
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tinygrad + rusticl + aco: why not?

I recently came across tinygrad as a small powerful nn framework that had an OpenCL backend target and could run LLaMA model. I've been looking out for rusticl workloads, and this seemed like a good one, and I could jump on the AI train, and run an LLM in my house! I started it going on my Radeon 6700XT with the latest rusticl using radeonsi with the LLVM backend, and I could slowly interrogate a model with a question, and it would respond. I've no idea how performant it is vs ROCm yet which seems to be where tinygrad is more directed, but I may get to that next week. While I was there though I decided to give the Mesa ACO compiler backend a go, it's been tied into radeonsi recently, and I done some hacks before to get compute kernels to run. I reproduced said hacks on the modern code and gave it a run. tinygrad comes with a benchmark script called benchmark_train_efficientnet so I started playing with it to see what low hanging fruit I could find in an LLVM vs ACO shootout
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nvk: the kernel changes needed

The initial NVK (nouveau vulkan) experimental driver has been merged into mesa master[1], and although there's lots of work to be done before it's application ready, the main reason it was merged was because the initial kernel work needed was merged into drm-misc-next[2] and will then go to drm-next for the 6.6 merge window. (This work is separate from the GSP firmware enablement required for reclocking, that is a parallel development, needed to make nvk useable). Faith at Collabora will have a blog post about the Mesa side, this is more about the kernel journey. What was needed in the kernel? The nouveau kernel API was written 10 years or more ago, and was designed around OpenGL at the time. There were two major restrictions in the current uAPI that made it unsuitable for Vulkan. buffer objects (physical memory allocations) were allocated 1:1 with virtual memory allocations for a file descriptor. This meant the kernel managed the virtual address space. For proper Vulkan suppor
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