14%
11.02.2016
.com/hashicorp/otto/examples/mongodb"
06 }
07 }
08
09 project {
10 name = "my-project"
11 infrastructure = "my-infrastructure"
12 }
13
14 infrastructure "my-infrastructure" {
15 type = "aws"
16
14%
16.02.2012
this in the story of their successful EC2 scaling experience.
A good tool for cache control is vmtouch, which is at home on most Linux 2.6, FreeBSD 7.x, or Solaris 10 kernels; mileage may vary on other *nix variants
14%
05.11.2018
# for your environment.
05 #
06 #
07 # slurm.conf file generated by configurator.html.
08 #
09 # See the slurm.conf man page for more information.
10 #
11 ClusterName=compute-cluster
12 Control
14%
13.12.2018
.conf file generated by configurator.html.
08 #
09 # See the slurm.conf man page for more information.
10 #
11 ClusterName=compute-cluster
12 ControlMachine=slurm-ctrl
13 #
14 SlurmUser=slurm
15 Slurmctld
14%
05.02.2019
10
11 Options Indexes FollowSymLinks MultiViews
12 AllowOverride None
13 Order allow,deny
14 allow from all
15
16
14%
09.10.2017
Block = true
05 Quarantine = true
06 Log = true
07 CaptureCommandLine = true
08 LogSubprocesses = true
09
10 Strings:
11
12 // place anything in here you wish
14%
09.10.2017
_consumer_secret>"
06 config.access_token = ""
07 config.access_token_secret = ""
08 end
09
10 user = client.user("23Cent")
11 puts user.name
12
13 def collect
14%
02.02.2021
– up until a desired performance level is attained. However, sometimes the question is posed from the reverse angle: Given existing code that requires a certain amount of time to execute (e.g., 10
14%
16.01.2013
import MPI
02 import random
03
04 comm = MPI.COMM_WORLD
05 rank = comm.Get_rank()
06 mpisize = comm.Get_size()
07 nsamples = int(6e6/mpisize)
08
09 inside = 0
10 random.seed(rank)
11 for i in range
14%
31.10.2025
computers running the Linux distributions CentOS 5 and 6, Debian 5 and 6, Fedora, Gentoo, Mageia, openSUSE, RHEL 5 and 6, Scientific Linux, and Ubuntu 10.04, 11.04, and 12.04. Additionally, it can handle
