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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
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29.09.2020
-line operations.
To install Dockly [3], you can choose one of two routes: with npm (see the "Installation by npm" box for that route) and in a Docker container. For context, on my laptop, about 43MB of file space
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12.05.2020
TAG IMAGE ID CREATED SIZE
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello-world latest fce289e99eb9 16 months ago 1.84kB
Running the nvidia
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30.01.2024
Dell Precision Workstation T7910
Power
1,300W
CPU
2x Intel Xeon Gold E5-2699 V4, 22 cores, 2.4GHz, 55MB of cache, LGA 2011-3
GPU, NPU
n/a*
Memory
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02.02.2021
5221548db 58 seconds ago 5.67MB
80dc7d447a48 About a minute ago 167MB
alpine 3.9 78a2ce922f86 5 months ago 5.55MB
The command you really
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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
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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
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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
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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
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05.11.2013
, mainly because it is inside the world’s fastest supercomputer – the Tianhe-2; in fact, the 48,000 Xeon Phi cards built in to the Tianhe-2 help it deliver nearly twice the raw performance of the second
