19%
02.02.2021
,000 seconds. Amdahl's Law says the speedup is 1.00 (i.e., the starting point).
Notice that as the number of processors increases, the wall clock time of the parallel portion decreases. The speedup a
increases
19%
27.09.2021
feature that saved many 4:00am reboots (after kernel security updates were applied to a critical running system) and was an exceptionally welcome addition to my toolbox because it reduced maintenance
19%
07.04.2022
:aws:iam::
:policy/IAM_Policy --policy-document file://privesc.json --set-as-default
{
"PolicyVersion": {
"VersionId": "v2",
"IsDefaultVersion": true,
"CreateDate": "2021-10-14T09:52:55+00:00"
}
}
By checking the policy
19%
02.08.2022
.
Listing 2
Output from a Running Plan
Starting: plan apache::install
Starting: task package on target1, target2
Finished: task package with 0 failures in 18.00 sec
Finished: plan apache
19%
05.02.2023
a user or group in Azure AD, use the cmdlet with the ObjectID parameter
Get-AzureADUser -ObjectID 3b47a729-16c1-4be1-9ee2-7f3bd00a346b
You can retrieve the ObjectID for each user after entering Get
19%
03.12.2015
something like Listing 2.
Listing 2
Sample Output
Starting Nmap 6.47 (http://nmap.org) at 2015-03-12:00:00 CET
Nmap scan report for targethost (192.168.1.100)
Host is up (0.023s latency).
r
19%
05.02.2019
C
!$acc parallel !$acc loop do i=1,n a(i) = 0.0 enddo!$acc end parallel
#pragma acc parallel{ #pragma acc loop for (int i=0; i < n; i++) { a[i] = 0.0 }}
When the compiler
19%
05.02.2019
-resizefs ran successfully
2018-10-09 20:43:00,261 - handlers.py[DEBUG]: finish: init-network/config-set_hostname: SUCCESS: config-set_hostname ran successfully
...
There is one thing worth mentioning here
19%
08.10.2015
seconds) and 80% parallel (800 seconds), but with only one process. Amdahl's Law says the speedup is 1.00.
As the number of processes increase, the wall clock time of the parallel portion decreases
19%
04.08.2020
Origin Data% Meta% Move
LocalData_00000 drbdpool Vwi-a-tz-- 152.00m thinpool 0.04
thinpool drbdpool twi-aotz-- 300.00m 0.02 10.94
The next application example
