23%
30.01.2020
without profiling).
Listing 3
pprofile Output
Command line: md_002.py
Total duration: 1662.48s
File: md_002.py
File duration: 1661.74s (99.96%)
Line #| Hits| Time| Time per hit
23%
05.03.2014
-s 12:00:00 -e 13:00:00
Linux 3.5.0-43-generic (hercules) 02.12.2013 _x86_64_ (2 CPU)
12:05:01 CPU %user %nice %system %iowait %steal %idle
12
23%
20.03.2014
jcb@hercules:# sar -u -f /var/log/sysstat/sa02 -s 12:00:00 -e 13:00:00
Linux 3.5.0-43-generic (hercules) 02.12.2013 _x86_64_ (2 CPU)
12:05:01 CPU %user %nice %system
23%
11.10.2016
in the GUI (Figure 4).
Figure 3: The apps -s -a command shows an abbreviated ( -s ) list of active ( -a ) ONOS applications
23%
07.11.2011
’bettah. But are you getting all the performance you should? Exactly where is all that memory, anyway? Do you know how big your shiny new L1, L2, and L3 caches are, and how they are shared across processor cores ...
Examine and optimize your server’s internal topology with this hardware locality tool suite.
23%
22.08.2011
-based algorithm and a small word list:
$ john -single passfile.txt
Loaded 2 password hashes with 2 different salts (FreeBSD MD5 [32/64 X2])
guesses: 0 time: 0:00:00:01 100% c/s: 9433 trying: hken1900
Finally ...
Easy to remember but difficult to guess isn’t just a catchy phrase for choosing passwords, it’s the law of the Net. Learn how to check your password using a tool network intruders use every day
23%
22.06.2012
: Qmail Delivery Retry Events
Delivery Attempt
Seconds
D-HH:MM:SS
1
0
0-00:00:00
2
400
0-00:06:40
3
1600
0-00:26:40
4
23%
01.02.2013
minutes of the system’s load. A plethora of tools display this metric, which is typically sourced through the getloadavg(3)
[2] system call, but the Linux kernel provides a canonical filesystem source
23%
09.12.2019
in execution time by about a factor of 10 (i.e., it ran 10 times slower than without profiling).
Listing 3: pprofile
Output
Command line: md_002.py
Total duration: 1662.48s
File: md_002.py
File duration: 1661
23%
13.10.2021
, along with tools included in the OpenMP standard, MPI libraries, and Slurm. Strap in, it’s going to be a bumpy ride.
... with various HPC applications. In this article, I present examples for (1) serial applications, (2) OpenMP applications, and (3) MPI applications. I’ll use the same architecture as before: a single-socket system
