15%
30.01.2020
=test
test: (g=0): rw=randwrite, bs=(R) 4096B-4096B, (W) 4096B-4096B, (T) 4096B-4096B, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1): [w(1)][100.0%][w=654MiB/s][w=167k IOPS][eta 00m:00s
15%
21.08.2014
application then grabs the data from this database and creates charts. The client can be programmed by the user or it can come as a prepared daemon (e.g., collectd [3]). If you like to measure your own
15%
25.03.2021
=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1): [w(1)][100.0%][w=1420KiB/s][w=355 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=3377: Sat Jan 9 15:31:04 2021
write: IOPS=352, BW=1410Ki
15%
02.10.2012
, for example, 12.34.56.78
will be allowed to connect to ALL services and not just SSH. As well as these flexible options, you can also declare old school subnets directly:
sshd: 1.2.3.4/255.255.255.0
As well
15%
13.04.2023
of packages in the file req.txt
in the home directory of the anaconda
user that can be used to create the shared_env
environment:
$ /opt/apps/anaconda3/bin/conda create -n shared_env --file ./req
15%
23.03.2022
-34-1804/72
/dev/loop7 17441 17441 0 100% /snap/gnome-3-38-2004/87
/dev/nvme1n1p1 62513152 7087560 55425592 12% /home
/dev/nvme0n1p1 0 0 0 - /boot/efi
/dev/loop8
15%
20.05.2014
Viewing Server Topology
01 # numactl --hardware
available: 8 nodes (0-7)
node 0 cpus: 0 1 2 3 4 5 6 7 8 9
node 0 size: 16373 MB
node 0 free: 15837 MB
node 1 cpus: 10 11 12 13 14 15 16 17 18 19
node 1
15%
03.12.2015
of priorities.
Solid Foundation
A first stable version of the LXC [3] userspace tool has been used to manage containers since February 2014. Ubuntu 14.04 has LXC 1.0 on board, which the developers recommend
15%
29.06.2012
Item(bottom_func,(),false,(thunk(AST(lambda({},{{#1, #2}, {{#1, Any, 2}, {#2, Any, 2}}, {}},
begin
#1 = top(Array)(top(Any),2)
top(arrayset)(#1,1,"n0")
top(arrayset)(#1,2,"n2")
#2 = #1
return addprocs_ssh(#2)
end
))),1),(),(),intset(1
15%
28.07.2025
on the programming model and compiler in use, these optimizations are so well understood as to carry their own names.
Loopy
David Spuler's recent works [1][2] feature the taxonomy of loop manipulation strategies
