100%
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
82%
20.03.2023
; I use them on my desktops and laptops, too.
You really have only two predominant tools in this category: TCL-based Environment Modules and the Lua-based Lmod environment toolset that uses modules
81%
03.02.2024
.168.4.100:/home/laytonjb/work_laptop_dir 977421312 524672000 403025920 57% /mnt/work_laptop_dir
tmpfs 26377268 108 26377160 1% /run/user/1000
Listing 2
81%
18.09.2017
Remora combines profiling and system monitoring to help you get to the root of application problems by revealing its use of resources.
...
Monitoring systems and profiling applications have long been a passion of mine.In the case of monitoring, I've taken the point of view that the system administrator should focuson monitoring ...
Remora combines profiling and system monitoring to help you get to the root of application problems by revealing its use of resources.
79%
21.08.2012
will allocate 4 cores
15 ### using 3 processors on 1 node.
16 #PBS -l nodes=1:ppn=3
17
18 ### Tell PBS the anticipated run-time for your job, where walltime=HH:MM:SS
19 #PBS -l walltime=0:10:00
20
21 ### Load
77%
16.04.2015
on its laptops that allows the software to steal web traffic using man-in-the-middle attacks.
When you use an encrypted filesystem or SEDs, all
of the data is encrypted. However, if you forget
76%
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
76%
13.04.2023
–
or they can be put in /etc/profile.d
, so when any user logs in, these environment variables are defined. For my testing in this article, I just added the commands to the two user accounts I have on the system
75%
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
74%
05.06.2013
(and that’s the subject of another article).
If you want to extend your programming to larger systems, you will need something larger than your desktop or laptop computer. Later, I will present some