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21.03.2017
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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03.04.2019
on, people integrated MPI (Message Passing Interface) with OpenMP for running code on distributed collections of SMP nodes (e.g., a cluster of four-core processors).
With the ever increasing demand
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17.01.2023
is more important than some people realize. For example, I have seen Message Passing Interface (MPI) applications that have failed because the clocks on two of the nodes were far out of sync.
Next, you
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26.02.2014
). In fact, that’s the subject of the next article.
The Author
Jeff Layton has been in the HPC business for almost 25 years (starting when he was 4 years old). He can be found lounging around at a nearby
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07.03.2019
by thread, which is really useful if the code uses MPI, which often uses extra threads. The second option lists the routines that use the most time first and the routines that use the least amount of time
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12.05.2020
definition files because it contains many building blocks for common HPC components, such as Open MPI or the GCC or PGI toolchains. HPCCM recipes are writen in Python and are usually very short.
HPCCM makes
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21.01.2021
MHz, eight-wide vector; air-cooled, up to 64 processors; liquid-cooled, 4,096 processors; 1,024 SMP nodes in 2D Torus; code with Python virtual machine (PVM) and message passing interface (MPI
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04.11.2011
and resource management, what next? Should you install Blender [16] and start rendering a feature-length movie? Will you install MPI and explore parallel computing [17]? Maybe you can run the Linpack benchmark
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22.05.2012
that combines the stateless OS along with important NFS-mounted file systems. In the third article, I will build out the development and run-time environments for MPI applications, and in the fourth article, I
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13.12.2022
is kind of meaningless. However, I am still a few steps away from having what I think is a modern cluster with compilers, MPI libraries, and a resource manager (aka a job scheduler). Moreover, my compute
