14%
30.11.2025
processor cores. Depending on the functional scope, the prices are between US$ 1,000 and US$ 5,000, including 12 months of free upgrades, news, and information.
For server virtualization newcomers, Citrix
14%
01.08.2019
total
x = numpy.arange(10_000_000);
%time sum(x)
CPU times: user 1.63 s, sys: 0 ns, total: 1.63 s
Wall time: 1.63 s
Next, add Numba into the code (Listing 2) so the @jit decorator can be used. (Don
14%
08.07.2018
using a parallel shell tool. However, for those that might be asking if they can use parallel shells on their 50,000-node clusters, the answer is that you can, but the time skew in the results
14%
16.08.2018
of nodes using a parallel shell tool. However, for those that might be asking if they can use parallel shells on their 50,000-node clusters, the answer is that you can, but the time skew in the results
14%
30.11.2025
; the required commands are quickly executed. But what if the customer wants me to install 1,000 machines? 1,000 manual entries? Not a pleasant thought. How about a shell script? Sounds convincing, but there
14%
07.06.2019
${WORK_DIR}
10 VOLUME ${WORK_DIR}
11
12 COPY Debian/stretch-backports.list /etc/apt/sources.list.d/
13 COPY Debian/testing.list /etc/apt/sources.list.d/
14
15 RUN apt-get update -y \
16 && apt-get upgrade
14%
30.11.2025
is capable of executing jobs at a very high speed. I have used the framework in an environment with more than 3,000 systems; running a job on all of the nodes rarely took more than 30 seconds.
YAML
14%
04.08.2011
. Depending on the functional scope, the prices are between US$ 1,000 and US$ 5,000 including 12 months of free upgrades, news, and information.
For newcomers to the world of server virtualization, Citrix
14%
18.07.2013
=> present,
11 source => 'puppet:///modules/myproject/apache/000-default',
12 owner => 'root',
13 group => 'root',
14 mode => '0664',
15 require => Package['apache'],
16 notify
14%
11.04.2016
MB/s wMB/s avgrq-sz ...
sdb 0.00 28.00 1.00 259.00 0.00 119.29 939.69 ...
Parallelism
Multiple computers can access enterprise storage, and multiple threads can access
