18%
20.03.2014
": 2048,
07 "resolvers": ["192.168.111.254"],
08 "disks": [
09 {
10 "image_uuid": "1fc068b0-13b0-11e2-9f4e-2f3f6a96d9bc",
11 "boot": true,
12 "model": "virtio"
13 }
14 ],
15
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01.06.2024
PI
resulting in a brief burst of computation on cores 0, 1, and 6 (Figure 4) and an approximation of pi (purely out of randomness and geometry) to 3.139, computed in just half a second (Figure 5). Executing
18%
03.02.2024
938G 718G 173G 81% /home
/dev/nvme0n1p1 511M 6.1M 505M 2% /boot/efi
/dev/sda1 5.5T 3.1T 2.1T 60% /home2
192.168.4.100:/home
18%
08.10.2015
seconds) and 80% parallel (800 seconds), but with only one process. Amdahl's Law says the speedup is 1.00.
As the number of processes increase, the wall clock time of the parallel portion decreases
18%
05.02.2019
-resizefs ran successfully
2018-10-09 20:43:00,261 - handlers.py[DEBUG]: finish: init-network/config-set_hostname: SUCCESS: config-set_hostname ran successfully
...
There is one thing worth mentioning here
18%
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
18%
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
18%
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
18%
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
18%
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