CppCon 2024

Computational Fluid Dynamics (CFD) codes are ubiquitous in high performance computing. Their computational demands require the use of all levels of parallelism provided by the hardware. This includes the SIMD units of today's processors, which provide one level of data parallelism. With `std::simd`, it becomes possible to address these units directly from C++.

The talk reports on our work on the vectorization of a CFD code. The focus will be primarily on the way we have expressed vectorization using `std::experimental::simd` and less on the achieved performance gains. In this context, we have developed a library that complements `std::simd`. The goal of this library is to make loading and saving `std::simd` variables syntactically equivalent
to loading and saving their scalar counterparts. Loop bodies written for scalar variables can then be used for `std::simd` variables without modification. The talk also discusses some possible improvements to C++, since this goal can currently only be achieved by using a macro.