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11.05.2021
the LD_PRELOAD trick to have Octave call a different BLAS library, resulting in different, conceivably better, performance.
The test system is my Linux laptop:
CPU: Intel(R) Core(TM) i5-10300H CPU @2
9%
05.12.2018
.
User Interface
About everyone in the world uses a graphical user interface (GUI) to access their desktops, laptops, and mobile devices. The icons and visual indicators of the interface, with some text
9%
08.04.2024
While managing Linux desktops, laptops, and HPC systems, I learn new commands and tools. As a result, my admin patterns change. In this article I present some commands I have started using more
9%
15.01.2014
(MPI), provisioning, and monitoring can also limit the data received and frequency at which it is gathered. As previously mentioned, oversubscribed networks are another source of bottlenecks, so you need
9%
05.04.2013
is counterproductive. You are paying more and getting less. However, new workloads are being added to HPC all of the time that might be very different from the classic MPI applications in HPC and have different
9%
12.08.2015
in the name of better performance. Meanwhile, applications and tools have evolved to take advantage of the extra hardware, with applications using OpenMP to utilize the hardware on a single node or MPI to take
9%
15.12.2016
implemented the HPF extensions, but others did not. While the compilers were being written, a Message Passing Interface (MPI) standard for passing data between processors, even if they weren’t on the same node
9%
21.03.2017
and binary data, can be used by parallel applications (MPI), has a large number of language plugins; and is fairly easy to use.
In a previous article, I introduced HDF5, focusing on the concepts and strengths
9%
12.09.2018
, it offers the possibility of a shared filesystem using SSH, which can help with security because only port 22 needs to be open (which you need for MPI application communications, anyway). SSHFS also uses SFTP
9%
03.04.2019
on, people integrated MPI (Message Passing Interface) with OpenMP for running code on distributed collections of SMP nodes (e.g., a cluster of four-core processors).
With the ever increasing demand
