Record performances with EPYC

Message boards : Cafe Rosetta : Record performances with EPYC

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Profile [VENETO] boboviz

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Message 94846 - Posted: 19 Apr 2020, 8:41:08 UTC
Last modified: 19 Apr 2020, 8:41:22 UTC

Supermicro Sets World Record Performance with AMD EPYC Processors
There are the new cpus Epyc 7fx2

These cpus on Rosetta (maybe with SSEx/Avx instrunctions!!) will be great. :-P
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spRocket
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Message 94851 - Posted: 19 Apr 2020, 10:10:07 UTC - in response to Message 94846.  

*drool*

I wish I could afford even one of those. Even a Ryzen 9 is a bit too rich for my finances, though.
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Profile Grant (SSSF)

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Message 94854 - Posted: 19 Apr 2020, 10:20:20 UTC - in response to Message 94851.  

*drool*

I wish I could afford even one of those. Even a Ryzen 9 is a bit too rich for my finances, though.
Yeah. I used a web site to set up a new system (just in case i won the lotto) based on a Ryzen 9 3900X.
$3,000 and a bit (and that's without a video card, i'd use one from an existing system).
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William Albert

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Message 94970 - Posted: 20 Apr 2020, 7:19:52 UTC - in response to Message 94846.  

The AMD EPYC 7Fx2 series is intended for applications that benefit more from frequency and cache, over raw thread count. However, Rosetta@home is perfectly able to use as many threads as a system has available (provided that the machine has sufficient RAM).

While these frequency-optimized SKUs are impressive for their intended workload, they wouldn't be optimal for Rosetta compared to the existing 2nd generation Epyc lineup.
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Profile Chilean
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Message 95067 - Posted: 21 Apr 2020, 19:37:11 UTC - in response to Message 94970.  

The AMD EPYC 7Fx2 series is intended for applications that benefit more from frequency and cache, over raw thread count. However, Rosetta@home is perfectly able to use as many threads as a system has available (provided that the machine has sufficient RAM).

While these frequency-optimized SKUs are impressive for their intended workload, they wouldn't be optimal for Rosetta compared to the existing 2nd generation Epyc lineup.


Isn't Rosetta L3-Cache hungry?

Is it correct that as time goes on, L3 cache will eventually turn into "RAM"? I remember having a computer with 64MB of RAM... and now we have a CPU with 256MB of L3 CACHE.
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Mod.Sense
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Message 95081 - Posted: 21 Apr 2020, 23:17:38 UTC - in response to Message 95067.  

Any large application, or application that uses large data structures will be "cache hungry", and will perform better with a larger cache available.
Rosetta Moderator: Mod.Sense
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Message boards : Cafe Rosetta : Record performances with EPYC



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