24%
05.09.2011
can see how the arp cache poisoning works:
$ sudo nemesis arp -v -r -d eth0 -S 192.168.1.2 \
-D 192.168.1.133 -h 00:22:6E:71:04:BB -m 00:0C:29:B2:78:9E \
-H 00:22:6E:71:04:BB -M 00:0C:29:B2:78:9E
24%
04.08.2020
directory with the -v option.
Hold on, not so fast: The Graph algorithm's plugin is only available as version 3.5.9. If you think you can simply use it with a Neo4j database of version 4.0.3, think again
24%
21.08.2012
glib2.i686 0:2.22.5-6.el6
libX11.i686 0:1.3-2.el6 libXau.i686 0:1.0.5-1.el6 libXft.i686 0:2.1.13-4.1.el6
libXrender.i686 0:0.9.5-1.el6
24%
05.12.2019
), byref(b))
print add.addtwo_(byref(a), byref(b))
The output from the Python code is:
$ python3 testfunc.py
8
6
If you like, you can write a simple Python wrapper function for the shareable objects
24%
30.01.2024
Dell Precision Workstation T7910
Power
1,300W
CPU
2x Intel Xeon Gold E5-2699 V4, 22 cores, 2.4GHz, 55MB of cache, LGA 2011-3
GPU, NPU
n/a*
Memory
24%
02.06.2020
cddaa6-0886-44b3-9590-16717d5cd3c2",
20 "service_instance_guid": null,
21 "port": null,
22 "domain_url": "/v2/shared_domains/fb6bd89f-2ed9-49d4-9ad1-97951a573135",
23
24%
12.05.2020
TAG IMAGE ID CREATED SIZE
cuda 10.1-base-ubuntu19.04-octave b01ee7a9eb2d 47 seconds ago 873MB
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello
24%
02.08.2021
---------------- -------------------- ---------------------------------------- --------- -------------------------- ---------------- --------
/dev/nvme0n1 S3ESNX0JA48075E Samsung SSD 960 EVO 250GB 1 22.41 GB / 250.06 GB 512 B + 0 B 2B7QCXE7
/dev/nvme1n1 07b4753784e26c18 Linux
24%
02.08.2021
SGEMM
for N = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192]
A = single( rand(N,N) );
B = single( rand(N,N) );
start = clock();
C = A*B;
elapsedTime = etime(clock(), start
24%
12.02.2014
B hald-addon-input
...
22.9 MiB + 4.0 MiB = 26.9 MiB plasma-desktop
26.0 MiB + 5.7 MiB = 31.7 MiB konsole (3)
28.3 MiB + 4.4 MiB = 32.7 MiB kwin
41.0 MiB + 2.0 MiB = 43.0 MiB Xorg
146.9
