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    11%
    Managing Cluster Software Packages
    12.02.2013
    Home »  Articles  » 
    of Open MPI installed and a user wanted to try the PetSc libraries with a new version, you could easily install and build everything in /opt and have the user running new code without rebooting nodes
    11%
    Cluster Documentation Project
    08.05.2012
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    of the difficulties in producing content is the dynamic nature of the methods and practices of HPC. Some fundamental aspects are well documented – MPI, for instance – and others, such as GPU computing, are currently
    11%
    Working with the Lustre Filesystem
    24.02.2022
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    | dshbak -c ---------------- 10.0.0.[3-6] ---------------- test.txt I/O and Performance Benchmarking MDTest is an MPI-based metadata performance testing application designed to test parallel filesystems
    11%
    IO500
    02.02.2025
    Home »  Articles  » 
    , which is a metadata benchmark. Both of these tools use MPI to run tests and have been around for quite a while, so they are robust, well-seasoned, and reasonably well understood. IOR has been used
    11%
    Monitor Your Nodes with collectl
    28.03.2012
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    /O. But measuring CPU and memory usage are very important, maybe even at the detailed level. If the cluster is running MPI codes, then perhaps measuring the interconnect (x for brief mode and X for detailed mode
    11%
    Stat-like Tools for Admins
    19.11.2014
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    "Top-like tools for admins" by Jeff Layton, ADMIN , issue 23, pg. 86, http://www.admin-magazine.com/Archive/2014/23/Top-like-tools-for-admins vmstat: http://en.wikipedia.org/wiki/Vmstat vmstat man
    11%
    Moving Your Data – It’s Not Always Pleasant
    08.05.2013
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    and many nodes, so why not use these cores to copy data? There is a project to do just this: dcp is a simple code that uses MPI and a library called libcircle to copy a file. This sounds exactly like what
    11%
    Top Three HPC Roadblocks
    12.01.2012
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    not move the overall market forward. For example, a user has many choices to express parallelism. They can use MPI on a cluster, OpenMP on an SMP, CUDA/OpenCL on a GPU-assisted CPU, or any combination
    11%
    What's Ahead for OpenMP?
    05.12.2011
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    ; 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
    11%
    Resource Management with Slurm
    05.11.2018
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    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

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