My brain is absolutely fried.
Today is the last day of coursework submissions for this semester. What a hectic month.
DNN with PyTorch, Brain model parallelisation with MPI, SYCL and OpenMP offloading of percolation models,hand optimizing serial codes for performance.
Two submissions due today. Submitted one and finalising my report for the second one.
Definitely having a pint after this

It seems that #Vulkan could be the real alternative for using #AI on GPUs or CPUs of any brand, without necessarily having to rely on #CUDA or #AMD's #ROCm. I thought #SYCL was the alternative. This might finally free us from of monopoly #Nvidia.
#Khronos

Do I have anyone in my wider network with skills in programming CUDA, SYCL, and OpenCL?

We want to determine feasibility of migrating CUDA-only code to SYCL (via SYCLomatic?): OpenCV feature detection/extraction modules (SIFT, HAGOG, ORB, AKAZE).

The intent is to upstream all feasible work.

This, hopefully, should stand to benefit everyone instead of being limited to NVIDIA.

Currently in info gathering/people connecting phase, not yet funded & ready to go.

Time for an #introduction!
I'm a young Canuck with interests/experience in #HPC, #Linux, #BLAS, #SYCL, #C, #AVX512, #Rust, heterogeneous compute & other such things.

Currently my personal projects are bringing #FP16 to the #OpenBLAS library, working to standardize what Complex domain BLAS FP16 kernels/implementations should look like, and making sure #SYCL is available everywhere.

I also write every now and again. Here's the tail of AVX512 FP16 on Alderlake
https://gist.github.com/FCLC/56e4b3f4a4d98cfd274d1430fabb9458