is this mainly about making host binaries self-contained for heterogenous workloads?

also, seems like this is mostly targeted towards HPC audience?

is it this? https://github.com/janestreet/incremental

You can denoise it: https://github.com/google/security-research/security/advisor...

the timer and urgency of this reminds me of the movie Armageddon where they had limited time to form a crew for a space mission.

they have a watchdog loop, it runs periodically

shouldn't the title be "CUDA Tile IR Open Sourced"?

It's more or less the same thing. CUDA TIle is the name of the IR, cuTile is the name of the high level DSLs.

is there a document or reference implementation that describes the full algorithm? tiling, sorting, merging, and strip conversion.

> In C++, it's an rvalue reference , which can be effectively thought of as an lvalue

hmm...this doesn't sound quite right? the comma operator's result in C++ is not an rvalue reference - it takes on exactly the value category of its right operand (which in this case is an lvalue)

so, these are hand optimized primitives for specific model of nvidia gpus? do you still have to make launch/scheduling decisions to maximize occupancy? how does this approach scale to other target devices with specialized instruction sets and different architecture?