30%
22.05.2023
a secondary (local) drive with the exact same capacity on each, /dev/sdb:
$ cat /proc/partitions|grep sd
8 0 10485760 sda
8 1 1024 sda1
8 2 1835008 sda2
8 3
30%
18.06.2014
mtime age file in days: 0.016 days
Standard deviation mtime age in days: 590.7352 days
*** Mtime interval summary
[ 0- 1 days]: 176 ( 0.05%) ( 0.05% cumulative)
[ 1- 2 days]: 0 ( 0.00%) ( 0
30%
30.11.2020
):
11
12 s = 0.0
13 s += h * f(a)
14 for i in range(1, n):
15 s += 2.0 * h * f(a + i*h)
16 # end for
17 s += h * f(b)
18 return (s/2.)
19 # end def
20
21
22 # Main section
23 comm = MPI
30%
31.10.2025
$ /usr/bin/time stress --cpu 2 -t 1
stress: info: [10050] dispatching hogs: 2 cpu, 0 io, 0 vm, 0 hdd
stress: info: [10050] successful run completed in 1s
1.00 real 1.81 user 0
30%
12.11.2020
f(x):
return x*x
# end def
def trapezoidal(a, b, n, h):
s = 0.0
s += h * f(a)
for i in range(1, n):
s += 2.0 * h * f(a + i*h)
# end for
s += h * f(b)
return (s/2.)
# end def
# Main
30%
30.01.2013
, for a library that uses a specific compiler and MPI library, you would end up with a module names like atlas-3.10.0-opempi-1.6.2-open64-5.0
. The name is useful because it tells the user the library version
30%
02.08.2022
-70
OpenSSL 3.0.1
OpenSSH 8.7p1
SELinux performance improvements
Automatic configuration of security compliance settings
NetworkManager key files for new profiles
GCC 11.2.1
Go 1
30%
18.10.2017
ab7000)
libc.so.6 => /lib64/libc.so.6 (0x00007f5bc46f4000)
libgcc_s.so.1 => /lib64/libgcc_s.so.1 (0x00007f5bc44de000)
/lib64/ld-linux-x86-64.so.2 (0x000056123e669000
30%
21.11.2012
of unit square: (W)
128 DO i=1,m
129 u(1,j) = 0.0d0
130 ENDDO
131
132 !
133 ! Solution Initialization
134 !
135 !$OMP PARALLEL DO SHARED(m,n,u)
136 DO j=2,m-1
137 DO i
30%
09.10.2023
the pattern,
nvme[controller]n[device]
where [
controller
]
is the number of the controller (e.g., 0
, 1
, 2
) and [
device
]
is the device number (e.g., 0
, 1
, 2
) on the controller.
You can use
