21%
30.11.2025
, 378501 c/s virtual
18 Long: 1063K c/s real, 1063K c/s virtual
19
20 Benchmarking: LM DES [64/64 BS]... DONE
21 Raw: 8214K c/s real, 8214K c/s virtual
22
23 Benchmarking: NT MD4 [Generic 1x]... DONE
24
21%
30.11.2020
):
11
12 s = 0.0
13 s += h * f(a)
14 for i in range(1, n):
15 s += 2.0 * h * f(a + i*h)
16 # end for
17 s += h * f(b)
18 return (s/2.)
19 # end def
20
21
22 # Main section
23 comm = MPI
21%
21.08.2012
| 119 kB 00:00
(6/19): glib2-2.22.5-6.el6.i686.rpm | 1.1 MB 00:00
(7/19): libX11-1.3-2.el6.i686.rpm
21%
31.10.2025
.nmap.org (64.13.134.52):
Not shown: 994 filtered ports
PORT STATE SERVICE VERSION
22/tcp open ssh OpenSSH 4.3 (protocol 2.0)
25/tcp closed smtp
21%
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
21%
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
21%
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
21%
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
21%
30.11.2025
YZCD
03 # DaemonOpts: -f /var/log/collectl -r00:00,7 -m -F60 -s+YZCD --iosize
04 ################################################################################
05 # Collectl: V3.6.1-4 HiRes: 1 Options
21%
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
