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04.12.2024
"],
08 "serviceHistory": [
09 {
10 "date": "2023-01-15",
11 "serviceType": "Oil change",
12 "dealer": "BMW Service Center"
13 },
14 {
15 "date": "2023-06-20",
16
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14.08.2020
is: In smartctl database [for details use: -P show]
ATA Version is: ACS-2, ATA8-ACS T13/1699-D revision 4c
SATA Version is: SATA 3.1, 6.0 Gb/s (current: 6.0 Gb/s)
Local Time is: Sun Aug 2 10:41:21 2020 EDT
SMART
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08.10.2015
environment so it could use the Linux kernel's container API. However, since version 0.9 Docker has operated independently of LXC. The libcontainer library written in the programming language Go now
42%
08.05.2019
(i=0; i < n; i++)
{
...
}
for (j=0; j < m; j++)
{
...
}
for (k=0; k < n*m; k++)
{
...
}
Listing 2: Parallelized Sets of Loops
Fortran
C
!$omp parallel do
do i=1,n
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12.11.2020
the final answer.
The command to run the code is straightforward:
$ mpirun -n 4 -f ./hosts python3 trap-mpi4py.py
Another sample problem (Listing 8) integrates x
^2 over the interval from 0.0 to 2.0
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25.11.2012
_NO_MD quiet SYSFONT=latarcyrheb-sun16 rhgb \
rd_LVM_LV=VolGroup00/LogVol01 rd_LVM_LV=VolGroup00/LogVol00 \
LANG=de_DE.UTF-8 rd_NO_DM crashkernel=128M
[root@rhel ~]# /etc/init.d/kdump status
Kdump
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STATUS RESTARTS AGE
kube-system coredns-d798c9dd-h25s2 0/1 Running 0 10m
kube-system metrics-server-6d684c7b5-b2r8w 0/1 CrashLoopBackOff 6
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14.06.2017
example illustrating the change in file size:
$ ls -lsah FS_scan.csv
3.2M -rw-r--r-- 1 laytonjb laytonjb 3.2M 2014-06-09 20:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K
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14.08.2017
to compress data files. Listing 1 shows a quick example illustrating the change in file size.
Listing 1
Gzip Example
$ ls -lsah FS_scan.csv
3.2M -rw-r--r-- 1 laytonjb laytonjb 3.2M 2014-06-09 20
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09.01.2013
metadata...
18 Wrote 0.00 MiB of compressed metadata.
After creating an S3QL filesystem, I checked the mountpoint, /mnt/data1 (Listing 2). A few files are created as a result of the S3QL filesystem
