16%
02.07.2014
free buff cache si so bi bo in cs us sy id wa st
192.168.1.4: 1 0 0 30198704 286340 751652 0 0 2 3 48 66 1 0 98 0 0
192.168.1.250: procs
16%
10.09.2013
.80
626.49
0.70%
FT
24,451.57
17,554.99
28.00%
IS
470.63
904.86
48%
LU
40,600.64
34,120.96
16.00%
MG ... New OpenMP 4.0 Spec
16%
13.07.2022
) [application/octet-stream]
Saving to: Rocky-8.6-x86_64-dvd1.iso
Rocky-8.6-x86_64-dvd1.iso 35%[===========> ] 3.74G 37.4MB/s eta 2m 45s
When you reconnected to the session, you didn’t specify
16%
25.09.2023
: 55 ms.
Port: 80: op 2.1. 10.0.0.23 80 Time: 26 ms.
Port: 80: op 2.2. 10.0.0.23 80 Time: 56 ms.
Port: 80: op 3.1. 10.0.0.23 80 Time: 25 ms.
Port: 80: op 3.2. 10.0.0.23 80 Time: 48 ms.
Port: 80: op 4
16%
20.02.2023
the file /usr/local/bin/gpu_devices.sh
(Listing 6).
Listing 6: /usr/local/bin/gpu_devices.sh
#!/bin/bash
/sbin/modprobe nvidia
if [ "$?" -eq 0 ]; then
# Count the number of NVIDIA controllers found.
NVDEVS=`lspci | grep -i NVIDIA`
N3
16%
14.03.2013
well. Of the available clients, PJSUA [3] turns out to be the best choice. PJSUA is the PJSIP reference implementation, and it comprises a function library for SIP, RTP, STUN, and some other Vo
16%
05.11.2018
Name=slurm-node-0[0-1] Gres=gpu:2 CPUs=10 Sockets=1 CoresPerSocket=10 \
ThreadsPerCore=1 RealMemory=30000 State=UNKNOWN
PartitionName=compute Nodes=ALL Default=YES MaxTime=48:00:00 DefaultTime=04:00:00 \
Max
16%
14.08.2017
:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K -rw-r--r-- 1 laytonjb laytonjb 261K 2014-06-09 20:31 FS_scan.csv.gz
The original file is 3.2MB, but after using gzip with the -9
16%
02.02.2021
my_norm_data.append(my_data[i]/my_data_max)
38 i += 1
39
40 # plot the data
41 trace0 = go.Scatter(
42 x = t,
43 y = my_norm_data,
44 name='Logons'
45 )
46 fig = go.Figure()
47
48 layout = go
16%
07.06.2019
_web latest c100b674c0b5 13 months ago 19MB
nginx alpine bf85f2b6bf52 13 months ago 15.5MB
With the image ID in hand, you can inspect the image manifest:
docker inspect bf85f2b6bf52