83%
20.10.2013
-test supported.
Selective Self-test supported.
SMART capabilities: (0x0003) Saves SMART data before entering
power-saving mode.
Supports SMART auto save timer.
Error logging capability: (0x01) Error logging
82%
07.11.2011
, how can you get all the threads to work on a collated result – for example, to total the values in an array? reduction()
(Listing 2) handles this.
Listing 2: reduction()
01 a = 0 ; b = 0 ;
02 #pragma
81%
22.08.2017
def frange(x, y, jump):
while x < y:
yield x
x += jump
if __name__ == '__main__':
A=list(frange(1.0,100000000.0,1.0))
A.append(0.1)
print test.ompmin(A)
# end
The correct minimum is 0.1
79%
02.06.2020
_array = np.zeros((100,), dtype='uint8')
04 for index in range(0, 100):
05 ex_array[index] = 1
06 print('Yay! {} done!'.format(index))
Listing 4
Pymp Code
01 from __future__ import print
78%
30.05.2021
Rejected Keys:
# salt 'minion0*' test.ping
With the command
salt-key --accept minion0*
the master accepts the minion01 and minion02 public keys, which are under its control from this point on
78%
17.02.2015
= ro.r.table(ro.r.cut(rep.df.rx2(1), [0, 0.9999, 1.0001, 2]))
14
15 label = lambda label, i: "%s %s %%" %(label, round((vals[i]*100)/num))
16 labels = [label("Ellipse", 0), label("Parabola", 1), label
77%
15.04.2020
similar to the threading module and supports spawning processes.
As with OpenMP, Pymp numbers the child processes with thethread_num
variable. The master process has thread_num
0.
With OpenMP, you
77%
18.07.2013
Spin_Up_Time
0x0020
100
100
000
Old_age
Offline
–
0
4
Start_Stop_Count
0x0030
100
100
000
Old
77%
19.06.2023
:: n, i, j, ierr
!------------------------------------------------------------------
n = 100
allocate(a(n,n), stat=ierr)
allocate(b(n,n), stat=ierr)
call random_seed()
do j =1,n
do i=1,n
call random_number(x)
a(i,j) = 10.0d0*x
77%
28.03.2012
# Kernel: 2.6.32-220.4.1.el6.x86_64 Memory: 7540044 Swap:
# NumDisks: 2 DiskNames: sdb sda
# NumNets: 2 NetNames: lo: eth0:100
# NumSlabs: 201 Version: 2.1
# SCSI: DA:1:00:00:00 DA:2:00:00:00 CD:4
