60%
03.02.2024
: Human-Readable df
$ df -h
Filesystem Size Used Avail Use% Mounted on
tmpfs 26G 2.5M 26G 1% /run
/dev/nvme0n1p2
60%
10.06.2015
– Default; an improved and optimized version of the LZ77 algorithm.
LZMA2 – An improved version of LZMA.
PPMD – Dmitry Shkarin's PPMdH with small changes.
PCJ – A converter for 32-bit x86 executables
60%
18.06.2014
( 0.05%) ( 0.05% cumulative)
[ 1- 2 days]: 0 ( 0.00%) ( 0.05% cumulative)
[ 2- 4 days]: 4675 ( 1.20%) ( 1.25% cumulative)
[ 4- 7 days]: 215 ( 0.06%) ( 1.31% cumulative)
[ 7
59%
02.02.2021
portion of the application. Four processors only gets a speedup of 2.5 – the speedup is losing ground.
This "decay" in speedup continues as processors are added. With 64 processors, the speedup is only 4
59%
25.02.2016
straightforward. If a processor was operating at a fixed frequency of 2.0GHz, CPU utilization was the percentage of time the processor spent doing work. (Not doing work is idle.
) For 50% utilization, the processor
59%
30.11.2020
into the groupware. For this purpose, you first create a local Unix socket (lines 2-5) and edit two configuration files (Listing 8). Then, launch the services in question (Listing 7, lines 7-9).
Listing 7
59%
02.08.2021
-system coredns-6d97dc4b59-mdd8x 1/1 Running 0 25m
kube-system kube-proxy-bkjbw 1/1 Running 0 20m
kube-system kube-proxy-ctc6l 1/1 Running 0 19
59%
18.12.2013
_limit):
20 local_dict['x'] = float(counter);
21 local_dict['y'] = float(counter + 1);
22 local_dict['z'] = float(counter + 2);
23 local_dict['value'] = 10.0 * float(counter);
24 my
59%
30.07.2014
$socket "system.loadavg_5min $lavg[1] $ts\n";
print $socket "system.loadavg_15min $lavg[2] $ts\n";
sleep(60);
}
close($socket);
The example client in Listing 1 sends the load average values of the last 1, 5, and 15
59%
07.11.2011
if '__main__' == __name__:
12
13 p1 = Process(target = count, args = (20, ' Rich',))
14 p2 = Process(target = count, args = (25, ' Nus',))
15 p3 = Process(target = count, args = (30, ' Geeks
