83%
05.08.2024
: hardly any difference here. Bear in mind, I set up a comparison between 10x10 arrays, 100 elements defined as integers on a 64-bit processor, totaling 8,000 bytes. Even on the dated Core i5 processor used
82%
30.01.2020
region: eu-west-3
08 licensefile: license.lic
09 wholenet: 10.100.0.0/16
10 frontnet: 10.100.254.0/28
11 netmaskback: 17
12 backnet: "10.100.0.0/{{ netmaskback }}"
13 lnet: 10.0.2.0/24
82%
04.11.2011
.data = new uchar[out.height * out.width];
32
33 // Iterate over all pixels of the output image
34 for(size_t y = 0; y < out.height; ++y)
35 {
36 for(size_t x = 0; x < out.width; ++x)
37
82%
05.12.2014
File
default menu.c32
prompt 0
timeout 100
ontimeout local
menu title *** PXE Menu ***
label 1
menu label ^1) Install CentOS x64 Edition
kernel x64/vmlinuz
append initrd=x64/initrd.img ks=http://192.168.0 ... 24
82%
27.08.2014
.5 GB 7.8% (17.9% cumulative)
6.7 GB 6.8% (24.7% cumulative)
8.9 GB 6.3% (30.9% cumulative)
11.2 GB 5.9% (36.9% cumulative)
13.4 GB 5.7% (42.6% cumulative)
15.7 GB 5.4% (48.0% cumulative)
17.9 GB 5
81%
21.12.2011
./smg2000 -n 90 90 90"
[openss]: pcsamp experiment using the pcsamp experiment default sampling rate: "100".
[openss]: Using OPENSS_PREFIX installed in /home/jeg/chaos_4_x86_64_ib/opt/OSS-mrnet
[openss
81%
20.05.2014
.50 for one hour with 100 instances for Hadoop (100 x US$ 0.015) and up to US$ 6.00 for up to 100 instances that run on-demand (100 x US$ 0.06). The bottom line is that you are billed for US$ 7.50 per hour ... Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis.
81%
03.12.2024
Flow, Microsoft Cognitive Toolkit (commonly referred to as CNTK), Theano, and PlaidML. By version 2.4, Keras only supported TensorFlow. In version 3.0 and subsequent versions, Keras once again supported multiple
81%
26.01.2025
Flow, Microsoft Cognitive Toolkit (commonly referred to as CNTK), Theano, and PlaidML. By version 2.4, Keras only supported TensorFlow. In version 3.0 and subsequent versions, Keras once again supported multiple
81%
10.04.2015
/mfeilner/.openshift/express.conf ... done
20
21 Checking for git ... found git version 2.1.0
22
23 Checking common problems .. done
24
25 Checking for a domain ... feilner
26
27 Checking for applications ... none
28
29 Run 'rhc create
