These core counts are insane. I’m curious about any programming languages that are designed to be easily to parallelize and how they will work on these 96 core chips
Honestly, the #1 programming language for parallelization, in practice, is bash scripting. you can convert any single-threaded program into a background thread with the & on the end, and then start running something else.
Yeah yeah yeah, people wanna be complicated with pthreads or async or other features. But... bash's "background" processing (&) gets a surprising amount of things done in my experience. Just spin up a program 300+ times with a & to make them all process in the background, and you're set.
C++ has been used on machines with very high CPU core counts for a long time. By now, things like std::async for spawning tasks on a different core are even part of the standard library.
Go is also really good at saturating many cores with its low-overhead goroutines.
Fortran is very well suited for highly parallalized workloads, given that all HPC tasks are basically parallelized matrix manipulations.
For some reason people have the notion that Fortran is still the punch-card days, but Fortran 08 is in fact widely used and quite friendly nowadays. If you're building a very-parallel application that could use something like MPI, you should very seriously consider Fortran.
