20%
25.03.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
20%
02.02.2021
.sin(periods * 2 * np.pi * t)
12 return max(value, 0.0)
13 else:
14 value = np.sin(periods * 2 * np.pi * t)
15 return max(value, 0.0)
16
17 # building the data vector
18 my_data = []
19 i = 0
20 while
20%
09.10.2013
, such as the rendering of a 3D scene.
The current apex of this development path is the NVidia Tesla K20X, which delivers a staggering 1.31 teraFLOPS of double-precision number-crunching performance. This performance
20%
10.04.2015
> \
jbossews-
2.0
51 Vert.
x 2.1 rhc create-app
\
jboss-vertx-2.1
52 WildFly Application Server 8.2.0.Final rhc create
20%
25.10.2011
/inet/ike/config
for the same partner would look something like Listing 4.
Listing 4: /etc/inet/ike/config
02 p1_nonce_len 20
03 p1_xform { auth_method preshared oakley_group 2 auth_alg sha encr_alg 3des }
04 p2_pfs 2
05 {
06
20%
20.05.2014
.2.0 include the introduction of YARN (Yet Another Resource Negotiator) as an optional replacement for MapReduce. MapReduce in Hadoop 1.x (Figure 3) is not optimal for all workloads. It achieves its best ... 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. ... 20
20%
04.12.2024
in this collection has different fields, depending on the type of vehicle (Listing 1).
Listing 1
Collection of Vehicles
01 {
02 "type": "Car",
03 "brand: "BMW,
04 "model": "X5",
05 "year": 2021
20%
07.01.2014
[laytonjb@home4 TEST]$ rsync -a -delete /home/laytonjb/TEST/SOURCE/ backup.0/
[laytonjb@home4 TEST]$ ls -s
total 20
4 backup.0/ 4 backup.1/ 4 backup.2/ 4 backup.3/ 4 SOURCE/
[laytonjb@home4 TEST]$ du -sh
28M
20%
27.09.2021
Among the number of burgeoning Kubernetes distributions available today is the excellent production-ready K3s [1], which squeezes into a tiny footprint and is suitable for Internet of Things (Io
19%
06.05.2014
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.
... Negotiator) as an optional replacement for MapReduce. MapReduce in Hadoop 1.x (Figure 3) is not optimal for all workloads. It achieves its best performance where duties can be clearly distributed ...
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.
