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13%
Lmod 6.0: Exploring the Latest Edition of the Powerful Environment Module System
16.07.2015
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Programmers use a number of compilers, libraries, MPI libraries/tools, and other tools to write applications. For example, someone might code with OpenACC, targeting GPUs and Fortran, whereas another person
13%
Environment Modules Using Lmod
08.08.2018
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; MPI, compute, and other libraries; and various tools to write applications. For example, someone might code with OpenACC to target GPUs and Fortran for PGI compilers, along with Open MPI, whereas
13%
OpenMP – Coding Habits and GPUs
13.06.2019
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of threads. Acknowledgment I thank Professor Joel Adams from Calvin College (Grand Rapids, MI) for quickly finding bugs in the OpenACC and OpenMP article series and letting me know before I embarrassed
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Processor and Memory Affinity Tools
14.09.2021
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. As a result, your carefully planned hardware path can be disrupted, resulting in poor performance. I have run all types of code on my workstation and various clusters, including serial, OpenMP, OpenACC
13%
CPU affinity in OpenMP and MPI applications
03.02.2022
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Lead Image © podfoto, 123RF.com
serial, OpenMP, OpenACC, and MPI code. I carefully watch the load on each core with GkrellM [3], and I can see the scheduler move processes from one core to another. Even when I leave one to two cores free

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