22%
11.04.2016
-fastcgi are running, as expected.
Listing 1
Process List
root 589 0.0 0.3 142492 3092 ? Ss 20:35 0:00 nginx: master process
/usr/sbin/nginx -g daemon on; master_process on;
www
22%
04.08.2020
in the standard Python built-ins [2] and in the NumPy library [3].
Figure 1: IPython session comparing two implementations of a round routine.
Unless you
22%
23.07.2012
for brevity]
8 10.59 so-4-2-0.mpr3.pao1.us.above.net (64.125.28.142)
9 11.00 metro0.sv.svcolo.com (208.185.168.173)
10 9.93 scanme.nmap.org (64.13.134.52)
Nmap
22%
12.09.2013
.pl
00:00:00.50023
The output shows the amount of computing time the database engine consumed. You can pass in the desired time as a CGI parameter:
$ curl http://localhost/cgi/burn0.pl\?3
00:00
22%
11.04.2016
if less data is requested.
Listing 3
IOPS on a Hard Disk
# iops /dev/sdb
/dev/sdb, 1.00 TB, 32 threads:
512 B blocks: 76.7 IO/s, 38.3 KiB/s (314.1 kbit/s)
1 KiB blocks: 84.4 IO
22%
11.06.2014
_system_release = '12.04'
17 $eth0_mac = '08:00:27:c4:a1:d8'
18 $VirtInfo = {
19 virtualization_role => 'guest'
20 virtualization_type => 'virtualbox'
21 }
22 $memory_shared = '0'
23 $Network = {
24 networkdevices
22%
22.12.2017
:1071867223(0) win 512
98:15:eb:38:f3:c1 c8:d7:c1:61:be:a3 0.0.0.0.30693 > 0.0.0.0.57646: S 1759104040:1759104040(0) win 512
dc:6d:43:15:be:52 99:19:41:22:4e:36 0.0.0.0.29211 > 0.0.0.0.63665: S 481173385
21%
18.07.2013
buffered disk reads: 616 MB in
3.00 seconds = 205.03 MB/sec
$ hdparm -T /dev/sda
/dev/sda:
Timing cached reads: 6292 MB in
2.00 seconds = 3153.09 MB/sec
If this were a spinning disk, you would also
21%
05.11.2018
nodes, and make sure to do this as a user and not as root.
3. To make life easier, use shared storage between the controller and the compute nodes.
4. Make sure the UIDs and GIDs are consistent
21%
13.12.2018
In previous articles, I examined some fundamental tools for HPC systems, including pdsh [1] (parallel shells), Lmod environment modules [2], and shared storage with NFS and SSHFS [3]. One remaining