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    9%
    More Best Practices for HPC Containers
    19.02.2020
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    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%
    Preload Trick
    11.05.2021
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    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%
    GUI or Text-Based Interface?
    05.12.2018
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    . 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%
    Really Useful Linux Commands for HPC Admins
    08.04.2024
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    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%
    SC24 – Bursting at the Seams
    07.01.2025
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    OnDemand on my small home lab clusters and it works just great. It’s particularly popular with MATLAB users, because they can get access to a very powerful single node when their laptop or desktop
    9%
    HPC Monitoring: What Should You Monitor?
    15.01.2014
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    (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%
    The Cloud’s Role in HPC
    05.04.2013
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    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%
    Compiler Directives for Parallel Processing
    12.08.2015
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    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%
    Modern Fortran – Part 2
    15.12.2016
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    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%
    HDF5 with Python and Fortran
    21.03.2017
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    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

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