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21.08.2012
Listing 6: Torque Job Script
[laytonjb@test1 TEST]$ more pbs-test_001
1 #!/bin/bash
2 ###
3 ### Sample script for running MPI example for computing PI (Fortran 90 code)
4 ###
5 ### Jeff Layton
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19.05.2014
with my /home/layton
directory on my local system (host = desktop
). I also access an HPC system that has its own /home/jlayton
directory (the login node is login1
). On the HPC system I only keep some
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09.12.2019
To improve the performance of your applications, you need to conduct some kind of dynamic (program, software, code) analysis, also called profiling, to measure metrics of interest. One key metric ...
Profiling Python code – as a whole or by function – shows where you should spend time speeding up your programs.
... Profiling Python Code ... Profiling Python Code
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23.02.2012
/64/4.3.0 globalarrays/open64/openmpi/64/4.2 mvapich2/gcc/64/1.2
acml/open64-int64/64/4.3.0 hdf5/1.6.9 mvapich2/open64/64/1.2
blacs/openmpi/gcc/64/1.1patch03 hpl/2.0
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16.01.2013
/yum.conf
# . /etc/profile.d/modules.sh
# module load openmpi-x86_64
# ompi_info | grep -i grid
MCA ras: gridengine (MCA v2.0, API v2.0, Component v1.5.4)
# echo "module load openmpi-x86_64" >> /etc/profile
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14.01.2016
: https://en.wikipedia.org/wiki/NVM_Express
Intel P3700 SSD: http://www.newegg.com/Product/Product.aspx?Item=N82E16820167232&cm_re=Intel_P3700_SSD-_-20-167-232-_-Product
The Author
Jeff Layton has been in the HPC business
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30.01.2013
(Listing 3).
Listing 3: Configuring Lmod init Scripts
[root@test1 profile.d]# ln -s /usr/local/lmod/lmod/init/profile /etc/profile.d/modules.sh
[root@test1 profile.d]# ln -s /usr
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10.10.2012
openlava on a Scientific Linux 6.2 system using the RHEL 6 binaries. If you read the Quickstart guide on the openlava site, you will learn that this binary is installed into /opt/openlava-2.0
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19.02.2020
(e.g., centos-7.6:tensorflow-2.0-0212020-Layton
), but such tags can be very useful. The previous example informs you that the distribution in the image is CentOS 7.6 and the image has TensorFlow 2.0
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15.01.2014
toward improving application performance (profiling). However, how do you profile across a cluster, and how do you make it part of a “job”? I think this is a developing area of monitoring, and one