55%
03.02.2024
version of iotop
as of the writing of this article (January 2024) is v1.25. It is extremely easy to build with one requirement: the curses
library. For the Ubuntu 20.04 system I'm using for testing
54%
13.04.2023
–
or they can be put in /etc/profile.d
, so when any user logs in, these environment variables are defined. For my testing in this article, I just added the commands to the two user accounts I have on the system
58%
20.03.2023
is important because it includes where things like MPI libraries or profilers are located, as well as where compilers and their associated tools are located. I discuss these concerns as the article progresses
55%
13.12.2022
use the same container for nodes but have them boot with different kernels, but please test the combination before putting it in production.
Combining a container with a kernel is done with a profile
58%
12.09.2022
high-profile HPC initiatives, such as Warewulf and Apptainer (formally Singularity). In parallel with launching Rocky Linux, Kurtzer started a company called CIQ to support Rocky development, consolidate
56%
18.08.2021
The Darshan userspace tool is often used for I/O profiling of HPC applications. It is broken into two parts: The first part, darshan-runtime
, gathers, compresses, and stores the data. The second
54%
12.05.2021
.07 1.19 2.89 0.00 95.06
Device r/s w/s rkB/s wkB/s rrqm/s wrqm/s %rrqm %wrqm r_await w_await aqu-sz rareq-sz wareq-sz svctm %util
sda 10.91 6.97 768.20 584.64 4.87 18.20
58%
12.11.2020
. MPI for Python (mpi4py
) was developed for Python with the C++ bindings in the MPI-2 standard. The 1.0 release was on March 20, 2020, and the current release as of this writing is 3.0.3 (July 27, 2020). Mpi4py
55%
13.10.2020
by parallelizing your code? Depending on your code and your skills, you have a number of paths to parallelization, but after some hard work profiling and lots of testing, your application is successfully
59%
19.02.2020
(e.g., centos-7.6:tensorflow-2.0-0212020-Layton
), but such tags can be very useful. The previous example informs you that the distribution in the image is CentOS 7.6 and the image has TensorFlow 2.0