Source: Hacker News
Article note: Anyone else remember when in ~2012 PGI (Portland Group, who at the time were a subsidiary of STMicroelectronics), a long time builder of high-performance compiler tooling was showing a new round of platform-independent parallel accelerator tooling including teasing a credible independent CUDA implementation that could target non-Nvidia platforms, then Nvidia bought them in 2013 and it disappeared from the face of the earth in favor of "we're excited to be working on CUDA Support for FORTRAN"?
...Yeah.
Nvidia seems well aware that the "There is existing code many users want to run written in CUDA, and you can only run CUDA code on an Nvidia part" situation is their competitive advantage.
ATI/AMD's failure to settle on a stable GPGPU toolchain (CTM/THIN/Brook+, Stream, ROCm with OpenCL, HIP, and perpetually broken CUDA compat...) and OpenCL's ugly boilerplate gave them an opportunity to get that core set of lock-in software, and they're not giving it up without a fight.
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