cccl

There’s an extensive change-log supporting the CCCL 3.0 release on GitHub from 3 hours ago: https://github.com/NVIDIA/cccl/releases/tag/v3.0.0

So I would say skill at GPU assembly is in-demand for the elite tier of GPU performance work. Not necessarily writing much of it (though see [1] for an example, this is the kernel of multisplit as used in Nvidia's Onesweep implementation), but definitely in being able to read it so you can understand what the compiled code is actually doing. I'll also cite as evidence of that the incredible work of the engineers on Nanite. They describe writing the core of the microtriangle software renderer in HLSL but analyzing the assembler output to optimize down to the cycle level, as described in their "deep dive into Nanite virtualized geometry" talk (timestamp points to the reference to instruction-level micro-optimization). [1]: https://github.com/NVIDIA/cccl/blob/2d1fa6bc9235106740d9373c... [2]: https://www.youtube.com/watch?v=eviSykqSUUw&t=2073

The second one is Thomas Smith's independent reimplementation of Onesweep. For the official version, see https://github.com/NVIDIA/cccl . The Onesweep implementation is in cub/cub/agent/agent_radix_sort_onesweep.cuh .

You can find std::string_view (C++17) in Google's WebGPU implementation [1], static_assert (C++17) in Protobufs [2], <bit> (C++20) in React Native [3], and std::format (C++20) in Cuda Core Compute [4]. So the big names in tech aren't afraid to add -std=c++20 to their build scripts. On the other hand, C++23 features aren't as common yet, but it's still very fresh and MSVC support is WIP. [1] https://github.com/google/dawn/blob/40cf7fd7bc06f871fc5e4823... [2] https://github.com/protocolbuffers/protobuf/blob/c964e143d97... [3] https://github.com/facebook/react-native/blob/77b3a8bdd6164b... [4] https://github.com/NVIDIA/cccl/blob/07fef970a33ae120c8ff2a9e...

"Introduction to Datalog" re: Linked Data https://news.ycombinator.com/context?id=34808887 pyDatalog/examples/SQLAlchemy.py: https://github.com/baojie/pydatalog/blob/master/pyDatalog/ex... GH topics > datalog: https://github.com/topics/datalog datalog?l=rust: https://github.com/topics/datalog?l=rust ... Cozo, Crepe Crepe: https://github.com/ekzhang/crepe : > Crepe is a library that allows you to write declarative logic programs in Rust, with a Datalog-like syntax. It provides a procedural macro that generates efficient, safe code and interoperates seamlessly with Rust programs. Looks like there's not yet a Python grammar for the treeedb tree-sitter: https://github.com/langston-barrett/treeedb : > Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages. Looks like roxi supports n3,

C++20 would be news to me. Do you have a reference? The closest I can find is https://github.com/NVIDIA/cccl which seems to be atomic and bits of algorithm. E.g. can you point to unordered_map that works on the target? I think some pieces of libc++ work but don't know of any testing or documentation effort to track what parts, nor of any explicit handling in the source tree.