28%
04.11.2011
Recent trends in computing are toward more cores doing more tasks at once. These days, you are likely to have a dual- or quad-core CPU in your laptop, and perhaps 4, 6, 12, or 16 cores in your
28%
28.11.2021
key first, as per the requirements of the official SSH transport standard (RFC 4253) [3]. The listings differ depending on whether or not you know the fingerprint for the other party's public key
28%
18.09.2017
in the Fortran programfor a longer run time:
nx = 8000
ny = 8000
i
t_max = 10000
tolerance = 0.00004D+00
The code was compiled using GCC 7.1 and run on a four-core AMD A6-6310 laptop (Lenovo
28%
06.10.2019
Stax Insights [3]. The former enables flexible scalability in Cassandra clusters and consumption-based billing supported by the stability and performance enhancements of DataStax Enterprise, which monitors
28%
15.01.2014
submitted jobs (the peak was around 4:00pm, and the low point was around 6:00-7:00am). Just imagine having that information about your cluster. If you use a charge-back model, you could charge more to submit
28%
03.12.2015
the tarball on your server's root directory. After changing to the new openQRM-5.2.3-Enterprise-Edition-Eval directory created by this step, become root and initiate the installation of openQRM by typing
28%
19.10.2012
consisting of 80 cores with 4GB of RAM per core with basic storage of 500GB. POD pricing is based on cores/hour and would work out to be US$ 6,098.00/month or US$ 0.101/core·hour. A large example of 256 cores
28%
26.01.2025
continuously slows down after 3:00pm, suitable extrapolation methods can be used to determine when the shopping cart will no longer respond and allow developers and administrators to take action in good time
28%
17.02.2015
168
(gdb) p j
$3 = 144
(gdb) c
Breakpoint 2, Calc_vacf () at MD.o.c:671
671 vacf[j-i]=0;
(gdb) p &j
$6 = (int *) 0xffffc168
(gdb) p j
$7 = 144
On the other hand, when dealing with the ELF
28%
09.10.2017
Most IT users rely on containers à la Docker [1], rkt [2], and LXD [3] as platforms for processing data. Sooner or later, cloud solutions such as OpenStack [4] also have to contend with containers
