16%
12.05.2020
dfb7330c6154b82f3a7e4724fb1b4475c0a95dfdd33",
"sha256:6c01b5a53aac53c66f02ea711295c7586061cbe083b110d54dafbeb6cf7636bf",
"sha256:e0b3afb09dc386786d49d6443bdfb20bc74d77dcf
16%
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
16%
25.01.2022
_GUI 184 results.tar.gz
18 cfq_tuning.tar.gz 1554 lvm_gui.tar.gz 3 runit.fdtree.bash
0 COLLECTL 0 LVM_VS_MD 0 SANDFORCE
0 CRYPT-2
16%
30.11.2020
. MPI for Python (mpi4py
) [1] was developed for Python with the C++ bindings in the MPI-2 standard. The 1.0 release was on March 20, 2020, and the current release as of this writing is 3.0.3 (July 27
16%
11.02.2016
/mnt/fuse/
2015-03-15T09:15:19 2015-03-15T09:50:34 2015-03-19T20:15:46
2015-03-21T09:45:05 2015-03-15T09:28:48 2015-03-15T10:44:06
2015-03-21T08:43:49
Make sure the TZ variable is set; otherwise
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%
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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02.02.2021
.sin(periods * 2 * np.pi * t)
12 return max(value, 0.0)
13 else:
14 value = np.sin(periods * 2 * np.pi * t)
15 return max(value, 0.0)
16
17 # building the data vector
18 my_data = []
19 i = 0
20 while
16%
02.02.2021
't be parallelized, you can tell up front, without knowing any other details about the problem, that the maximum speedup theoretically possible is 20x (Equation 3
16%
14.06.2017
-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
option (i.e., maximum compression), the resulting file is 268KB. The .gz