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04.11.2011
::min((int) std::numeric_limits::max(), std::max(value, (int) std::numeric_limits::min()));
20 }
21
22 /**
23 * Convolve a grayscale image with a convolution
24 * kernel on the CPU.
25
30%
25.08.2016
and the other active members of the nano project decided to leave the GNU project, leaving GNU nano
intact but taking active development outside of GNU (a fork). This move was taken because of their objections
30%
08.07.2018
The pdsh
parallel shell tool lets you run a command across multiple nodes in a cluster.
... seconds set connect timeout (default is 10 sec)
-u seconds set command timeout (no default)
-f n use fanout of n nodes
-w host,host,... set target node list on command line
-x ...
The pdsh
parallel shell tool lets you run a command across multiple nodes in a cluster.
30%
19.09.2019
= np.array([10, 20, 30, 40])
print('a+b:\n', add_ufunc(a, b))
The answer should be:
a+b:
[11 22 33 44]
In the previous example, you had to put everything that was to run on the GPU into a single Numba
30%
07.03.2019
Loops
Fortran
C
!$acc parallel loop
do i=1,n
A(i) = B(i) + C(i)
enddo
!$acc parallel loop
do j=1,m
B(i) = B(i) * D(i)
enddo
#pragma
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19.11.2019
VG Fmt Attr PSize PFree
/dev/nvme0n1 vg-cache lvm2 a-- 232.88g 232.88g
/dev/sdb vg-cache lvm2 a-- <6.37t <6.37t
Say I want to use 90% of the slow disk: I will carve a logical volume labeled slow
from the volume
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18.03.2020
2 hours ago 9.83GB
49cbd14ae32f 3 hours ago 269MB
ubuntu 18.04 72300a873c2c 3 weeks ago 64.2MB
30%
12.05.2020
72608049dcf74ddbd27daa01a25fa63c8f1b9adc4
2020/05/02 07:47:54 info unpack layer: sha256:d8f1569ddae616589c5a2dabf668fadd250ee9d89253ef16f0cb0c8a9459b322
2020/05/02 07:47:54 info unpack layer: sha256
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09.09.2024
.0.1 20240412 (experimental) [master r14-9935-g67e1433a94f] (Ubuntu 14-20240412-0ubuntu1)
Everything looks good: mpirun
is there and mpicc
points to gcc-14.0.1 (the host system is Ubuntu 22.04, for which gcc-14 does
30%
17.02.2015
:
Tegra X1:
25.6GBps memory bandwidth
HDMI 2.0 and HDCP 2.2
10W power
Peak performance: 1,024GFLOPS with FP16; 512GFLOPS with FP32
ARM Cortex CPUs:
Quad-core 64-bit ARM Cortex-A57 ... 25
