17%
28.11.2023
with an Ethertype of 0x88e5 on the provider's network. Because MACsec works on Layer 2, it must be individually enabled for each interface.
Encryption Method
MACsec uses AES-GCM as the encryption algorithm
17%
16.05.2013
Microsoft components. Version 3.1 of the Univention Corporate Server (UCS) [1], which was released in December, uses the Samba 4 version 4.0rc6, which was further developed by the Univention developers
17%
30.03.2012
in the network properties, thus forcing Internet Explorer to use the proxy.
If Windows 7 fails to find a DNS server, it uses three standard addresses as its name servers: fec0::1
, fec0::2
and fec0
17%
22.05.2023
.
# TYPE http_request_duration_seconds histogram
http_request_duration_seconds_bucket{le="1"} 0
http_request_duration_seconds_bucket{le="2.5"} 1
http_request_duration_seconds_bucket{le="5"} 2
http
17%
30.05.2021
this instance type is equipped with an NVidia Tesla V100 [5] datacenter accelerator (Figure 1). Built on the basis of the Volta microarchitecture [6], the V100 supports CUDA 7.0, and it was the first to ship
17%
09.04.2019
Shell command:
> Get-Process | Select-Object -Property name, ID
PowerSploit expects a list of bytes in the form 0xXX,0xXX,0xXX,0xXX. To generate the correct format, the Backtrack tools collection [2] is helpful
17%
07.06.2019
three seconds to see whether the back end, 127.0.0.1:8080
, is still alive and whether the response from the back end takes less than 50ms. If this is not the case, Varnish will continue to deliver
17%
12.09.2022
= np.random.rand(nx,ny)*100.0 # Random data in arrayy
np.save(filename, a) # Write data to file
print(" Just finished writing file, ",filename,".npy")
# end for
The code in Listing 2 reads the five files
17%
20.02.2023
slurm.conf
(i.e., /etc/slurm/
):
# GPU definition
NodeName=n0001 Name=gpu File=/dev/nvidia0
The one line in the file defines the node to which it pertains. You can also use a single line in gres.conf
to cover
17%
17.07.2023
.
Listing 1: Installation Script with conda
conda install -c conda-forge -y cudatoolkit=11.8.0
# Tensorflow:
conda install -c conda-forge -y cudatoolkit=11.8.0
python3 -m pip install nvidia-cudnn-cu11==8.6.0
