9%
05.12.2011
; and FAQs. With that, we will try to knock down some of the myths people hold about OpenMP when compared with various other models, such as MPI, Cilk, or AMP. Somehow, we are the favorite comparison for all
9%
05.11.2018
Machine=slurm-ctrl
13 #
14 SlurmUser=slurm
15 SlurmctldPort=6817
16 SlurmdPort=6818
17 AuthType=auth/munge
18 StateSaveLocation=/var/spool/slurm/ctld
19 SlurmdSpoolDir=/var/spool/slurm/d
20 SwitchType=switch/none
21 Mpi
9%
20.06.2012
boot times.
Adding users to the compute nodes.
Adding a parallel shell tool, pdsh, to the master node.
Installing and configuring ntp
(a key component for running MPI jobs).
These added
9%
19.02.2020
developing tools, applications, and libraries to share with each other and to run on their laptops. Assuming they were root, access was a given. If you are root, you can do anything.
Docker is still important
9%
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