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
Go can utilize the full CPU with ease :)
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
#12Looks 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.
I'm not sure the comparison here. I could get 8 t3a.micros (16 cores total) for ~$700 reserved for 3 years, including power costs. And I don't have to maintain it, or the network connection etc.
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#13These 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
All languages implemented with llvm-mlir.
Others languages such Chapel, Halide probably will do fine
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#14You won't fool me with your tempting PSP-bugged stones, AMD! )
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#15These 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
I'd use all of them for 3D! And MSVC supports parallel compilation since, like, 2009..?
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#16Earlier quoted context omitted.
agree, cloud services are way too expensive, especially when you can get an 8 core mac mini for $700.
I'm not sure the comparison here. I could get 8 t3a.micros (16 cores total) for ~$700 reserved for 3 years, including power costs. And I don't have to maintain it, or the network connection etc.
But you do have to pay network usage by the gigabyte, right? And 8 full "hyperthreaded" cores in one machine are more useful than 16 machines with a core each, though I admit I don't know how much such a machine would cost on AWS.
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#17These 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
Doing that in C is not that hard with OpenMP, you don't even have to fiddle with threads and/or manually parallelize your code. Just an example: https://tildesites.bowdoin.edu/~ltoma/teaching/cs3225-GIS/fa...
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#18It’s amazing how far we’ve come in 16 years - dual core dual socket processors to behemoths like this, which are faster per clock, faster per core and so dense as to make what would have been a rack’s worth of x86 compute possible in 1U
I know it’s incredibly unlikely I’ll see one of those in person, but hopefully these will result in serious cost improvements for low power cloud vms.
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#19The CXL implementation is exciting! A shared memory bank that's concurrently-accessible in a cache-coherent manner? The possibilities are enormous! This is huge for distributed computation where the biggest bottleneck is oftentimes just copying data to and from nodes over the network, not to mention the potential for high-availability systems and how this could be used in database servers.
I wish I could get my hands on some of these systems.
Re: AMD Launches EPYC 9004 “Genoa” Processors – Up to 96 Cores, Zen 4, AVX-512
#20Earlier quoted context omitted.
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.
ram bandwidth matters in some cases, check for arrow/wide GMI3 in Genoa slides