12%
22.12.2017
.linux-magazin.de;
04
05 root /var/www/www.linux-magazin.de;
06 index index.html index.htm;
07
08 # Let's Encrypt Challenge
09 #
10 location ~ /.well-known {
11 allow all;
12 }
13
14
12%
02.02.2021
't be parallelized, you can tell up front, without knowing any other details about the problem, that the maximum speedup theoretically possible is 20x (Equation 3
12%
05.12.2014
(plyr)
06 library(ggplot2)
07
08 setwd("~/R/RFI")
09 rfi <- read.csv("rfi-extract-July2011.log",header=TRUE, sep=",")
10
11 ## read in data to frame
12 data <- data.table(rfi)
13 ct <- count
12%
07.10.2014
12 ECDHE-RSA-DES-CBC3-SHA
13 DHE-RSA-AES128-SHA
14 DHE-RSA-AES256-SHA
15 EDH-RSA-DES-CBC3-SHA
16
17 AES128-GCM-SHA256
18 AES256-GCM-SHA384
19 AES128-SHA
20 AES256-SHA
21 DES-CBC3-SHA
Listings
12%
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
12%
11.10.2016
print "Cannot import matplotlib module - this is needed for this application.";
18 print "Exiting..."
19 sys.exit();
20 # end if
21
22
23 def column(matrix, i):
24 return [row[i] for row
12%
21.08.2012
glib2 i686 2.22.5-6.el6 sl 1.1 M
libX11 i686 1.3-2.el6 sl 585 k
lib
12%
30.11.2025
, 378501 c/s virtual
18 Long: 1063K c/s real, 1063K c/s virtual
19
20 Benchmarking: LM DES [64/64 BS]... DONE
21 Raw: 8214K c/s real, 8214K c/s virtual
22
23 Benchmarking: NT MD4 [Generic 1x]... DONE
24
12%
30.11.2025
to storage
08 mv archiv/cur/$i storage
09
10 # Create storage directory for email
11 mkdir storage/$pref.$i
12
13 # Extract attachments from mail
14 ripmime -i storage/$i -d storage/$pref.$i
15
16
12%
16.05.2013
://wiki.scilab.org/Linalg%20performances
Compiling
http://wiki.scilab.org/Compiling%20Scilab%205.x%20under%20GNU-Linux%20Unix
Parallel computing
http
