On March 19, 2020 I did a webinar titled,
“AMD Threadripper 3rd Gen HPC Parallel Performance and Scaling ++(Xeon 3265W and EPYC 7742)”
The “++(Xeon 3265W and EPYC 7742)” part of that title was added after we had scheduled the webinar. It made the presentation a lot more interesting than the original Threadripper only title! This is a follow up post with the charts and plots of testing results presented in that webinar.
Is 32-cores enough? I had some testing time again on an AMD Threadripper 32-core 3970x and thought it would be interesting to compare that to the 64-core 3990x. In this post I take a comparative look at parallel performance and scaling for HPL Linpack, Python numpy and the NAMD molecular dynamics program.
64 cores is a lot of cores! How well will parallel applications scale on that many cores? The answer, of course, is, it depends on the application. In this post I look at Amdhal’s Law parallel scaling for HPL Linpack, Python numpy and the NAMD molecular dynamics program.
64 cores! The latest AMD Threadripper is out, the 3990x 64-core. I’ve spent the last couple of days running benchmarks and have some results showing raw numerical compute performance using my standard CPU testing applications HPL Linpack and the molecular dynamics program NAMD. The 3990x is a great processor with exceptional performance. Especially for NAMD! (There were some difficulties and disappointments during the testing and I report those here too.)
AMD Threadripper 3970x 32-core! …The, third new AMD processor I’ve had the pleasure of trying recently. I’m running it through the same double precision floating point performance tests as the recently tested Ryzen processors, Linpack and NAMD.
The, much anticipated, AMD Ryzen 3950x 16-core processor is out! As always the first thing I wanted know was the double precision floating point performance. My two favorite applications for a “first look” at a new CPU are Linpack and NAMD.
I was able to spend a little time with an AMD Ryzen 3900X. Of course the first thing I wanted know was the double precision floating point performance. My two favorite applications for a “first look” at a new processor are Linpack and NAMD. The Ryzen 3900X is a pretty impressive processor!
There are 2 recent Intel processors that are really strange, the Xeon W-3175X 28-core, and the Core i9 9990XE overclocked 14-core. I was able to get a little time in on the these processors. I ran a couple of numerical compute performance tests with the Intel MKL Linpack benchmark and NAMD. I used the same system image that I had used recently to look at 3 Intel 8-core processors so I will include those results here as well. **There will be results for W-3175, 9990XE, 9800X, W-2145, and 9900K**.
In this post I’ll take a brief look at the numerical computing performance of three very capable 8-core processors — i9 9900K, i9 9800X and Xeon 2145W All three are great CPU’s but there are some significant differences that can cause confusion. I’ll discuss these differences and see how the processors stack up when running Linpack and NAMD molecular dynamics simulations.
I recently wrote a post about building and running AMD Threadripper 2990WX with HPL Linpack – a “How-To”. Most of the time I had with the processor went into getting that to work. However, I did run a few other test jobs that I thought the 2990WX would do well with. I compared that against my personal workstation with a Xeon-W 2175. In this post I share those test runs with you. It’s not thorough testing by any means but it was interesting and I was surprised a couple of times with the results.
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