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page.
Figure 2: Log messages in JSON format provide more information.
Logging Child Processes
Starting in version 1.9.8, a sudo option lets you log
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julia> limulus
limulus
limulus
limulus
n2
n0
n2
n0
To get a better feel for parallel computation, I can run the example from the Julia documentation [9]. First, see how it works on one node
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( *, '(a)' ) ' '
write ( *, '(a)' ) 'HELLO_OPENMP'
write ( *, '(a)' ) ' Normal end of execution.'
!stop
end
For testing, I used f2py
to build the module, using the GFortran compiler version 7
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-dimensional arrays.
If the array is local to the image, you access the array as you normally would. For example, for image 3 to access element (2,2)
from the array, the statement would be something like:
b = a
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filesystem, if so desired [5]:
$ guestfish -N fs:ext3
When you call Guestfish with the new image,
$ guestfish -a
you are taken to a shell where you first need to enter run to toggle the system ... 9
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hosts [9]. A more apt comparison is found in Listing 2, with the results posted by a Raspberry Pi 400 [10], which is essentially a Raspberry Pi 4 (Broadcom BCM2711 Cortex-A72, ARM v8 quad-core running
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:
Figure 4: Header bytes 12-15.
# tcpdump -n -r dumpfile.lpc -c 10 'tcp[13] == 18' and host 172.16.183.2
Figure 5 is an example what this command returns. When capturing data with tcpdump, you can
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of reading):
$ curl -LO <a href="https://storage.googleapis.com/minikube/releases/latest/docker-machine-driver-kvm2">https://storage.googleapis.com/minikube/releases/latest/docker-machine-driver-kvm2
$ chmod
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: 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
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for [clauses ...]
for (i=0;i<N;i++) {
a[i]= i*i; /* parallelized */
}
... /* one thread */
Also, you can combine the two compiler directives, parallel
and sections
, to form a single directive