Enroot is a simple and modern way to run “docker” or OCI containers. It provides an unprivileged user “sandbox” that integrates easily with a “normal” end user workflow. I like it for running development environments and especially for running NVIDIA NGC containers. In this post I’ll go through steps for installing enroot and some simple usage examples including running NVIDIA NGC containers.
The new Intel Rocket Lake CPUs have been officially released. There were numerous posts and reviews before the official release date of March 30 2021, but I haven’t seen anything about the numerical compute performance. I’ve had access to a Core-i9 11900KF 8-core CPU and have compared it with (my own) AMD 5800X system.
Threadripper Pro! AMD has released the long awaited Threadripper Pro CPUs. I was able to spend a (long) day (and night) running compute performance testing on the flagship 64-core TR Pro 3995WX. In this post I’ve got some HPC workload benchmark results from putting this excellent CPU through its compute paces.
In my recent testing with the AMD Threadripper 2990WX is was impressed by the CPU based performance with the molecular dynamics program NAMD. NAMD makes a good benchmark for looking at CPU/GPU performance since it requires a balance and is usually limited by CPU. After some discussions I decided it would be good to look at multi-GPU performance with NAMD on Threadripper.
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.
The AMD Ryzen Threadripper 2990WX with 32 cores is an intriguing processor. I’ve been asked about performance for numerical computing and decided to find out how well it would do with my favorite benchmark the “High Performance Linpack” benchmark. This is used to rank Supercomputers on the Top500 list. It is not always simple to run this test since it can require building a few libraries from source. This includes the all important BLAS library which AMD has optimized in their BLIS package. I give you a complete How-To guide for getting this running to see what the 2990WX is capable of.
ARM for HPC? Supercomputers using ARM processors? Yes! I was at SC17 last week and ARM was a hot topic. There are new ARM processor designs that are fully competitive with Intel and AMD CPU’s for high performance computing.
Intel Core-i9 7900X and 7980XE are very good desktop processors for mathematical computing workloads. This post is a short listing of results for the Linpack benchmark which is still my personal favorite CPU performance metric.
Just got a NVIDIA GTX 1080 for testing. I hacked up an install with Ubuntu 16.04 and CUDA 7.5 along with a beta display driver that works! First run after compiling the cuda samples nbody gave 5816 GFLOP/s! A GTX 980 on the same system does 2572 GFLOP/s. However, it’s not all good news …
The Intel Xeon E5 2600 v4 Broadwell processors are finally available. My first Linpack testing with a E5-2687W v4 shows a greater than 35% performance increase over the v3 Haswell version! And, it’s the same price as the v3 version! It’s significantly better than expected.
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