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AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

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Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

#4

Post by fxtentacle »

Decabytes wrote: post #3

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

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.

Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

#6

Post by rnantes »

Havoc wrote: post #5

Looks like an absolute beast. Also makes me optimistic for lower end...this is eventually going to trickle down to VPS space...i.e. make those 1core/1GB utility VPS much cheaper

agree, cloud services are way too expensive, especially when you can get an 8 core mac mini for $700.

Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

#7

Post by dragontamer »

Decabytes wrote: post #3

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

make -j works pretty darn well in my experience.

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.

Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

#8

Post by solomatov »

Decabytes wrote: post #3

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

Rust is very good for parallelizing code, especially if used with libraries like https://crates.io/crates/rayon

Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

#9

Post by zac_hudson »

Decabytes wrote: post #3

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

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.

Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512

#10

Post by yazzku »

dragontamer wrote: post #7
Decabytes wrote: post #3

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

make -j works pretty darn well in my experience. 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 amo…

I've found make -j doesn't actually scale very well when you have a ridiculous number of cores and less than, e.g., 2 GB RAM/core.
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