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    6%
    When I/O Workloads Don’t Perform
    12.05.2021
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    .M.A.R.T.), you can use the smartmontools package and, again, more specifically, the smartctl binary (Listing 4). Listing 4: smartctl on SAS Drive $ sudo smartctl -a /dev/sdc smartctl 7.1 2019-12-30 r5022 [x86
    6%
    Preload Trick
    11.05.2021
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    sizes (Listing 1). The second script (Listing 2) is the same as Listing 1, but uses double precision. Listing 1: Single-Precision Square Matrix Multiply # Example SGEMM   for N = [2, 4, 8, 16
    6%
    New Monitoring Tools
    14.04.2021
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    is scrolling back in time (Figure 4). Figure 4: Going back in time with Zenith. You can tell the chart has gone back in time because at the very top it says
    7%
    Desktop Supercomputers: Past, Present, and Future
    17.03.2021
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    . Transmeta created a second generation of CPUs released in 2004, named Efficeon, that also had an x86 CMS. The Efficeon CMS layer more closely tracked the Pentium 4 rather than the Pentium III, as Crusoe did
    6%
    Rethinking RAID (on Linux)
    16.03.2021
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    operations (Listing 2). The results show that the single HDD has a throughput of 1.4MBps for random writes and 1.9MBps for random reads. Listing 1: Random Write Test $ sudo fio --bs=4k --ioengine
    6%
    How Linux and Beowulf Drove Desktop Supercomputing
    17.02.2021
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    and writing Unix code. (4) The GNU project had created a great deal of code for Unix-like operating systems. Beowulf Beowulf clusters were born from the simple need for a commodity-based cluster system
    6%
    A Brief History of Supercomputers
    21.01.2021
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    ). That supercomputer was expensive. A predecessor to the Y-MP, the X-MP, sold to a nuclear research center in West Germany for $11.4 million in 1981, or $32.6 million in 2020 dollars (see The Supermen  by Charles J
    6%
    Remora – Resource Monitoring for Users
    08.12.2020
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    . In the case of MPI applications, it grabs the hostnode list of environment variables and uses that for SSHing into the nodes for data gathering. As of version 1.8.4, Remora requires either Intel MPI
    17%
    mpi4py – High-Performance Distributed Python
    12.11.2020
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    for its increasing popularity is the availability of common high-performance computing (HPC) tools and libraries. One of these libraries is mpi4py . If you are familiar with the prevalent naming schemes ... mpi4py – High-Performance Distributed Python ... mpi4py – High-Performance Distributed Python
    6%
    Why Good Applications Don’t Scale
    13.10.2020
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    of the application. Four processors only gets a speedup of 2.5 – the speedup is losing ground. This “decay” in speedup continues as processors are added. With 64 processors, the speedup is only 4.71. The code

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