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04.10.2018
, the first step is to specify the filesystems (directories) that are to be exported to the compute nodes. The /etc/exports file lists the filesystems and the permissions, such as:
/usr/local 192.168.0.1(ro
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22.06.2012
: Qmail Delivery Retry Events
Delivery Attempt
Seconds
D-HH:MM:SS
1
0
0-00:00:00
2
400
0-00:06:40
3
1600
0-00:26:40
4
16%
12.03.2014
important data structure in NumPy is the N
-dimensional array, ndarray
. In a one-dimensional case, ndarrays
are vectors. Unlike Python lists, the size of NumPy arrays is immutable; its elements
16%
20.03.2014
that no longer exist in the new index. Instead of NaN, you use the fill_value argument to specify different default values. To fill empty rows with 0, use:
s.reindex(['d', 'e', 'f'], fill_value=0
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10.06.2015
Uncompressed File
$ gunzip hpc_001.html.gz
$ ls -s
total 11280
11032 Flying_Beyond_the_Stall.pdf 28 hpc_001.html.gpg
196 hpc_001.html 24 hpc_001.html.gz.gpg
$ head -n 5 hpc_001.html
HPC
16%
20.03.2014
. Setting this jumper will adjust sector addressing "in hardware" off by one, mapping address n
into physical sector n
+1. You want to be extremely careful not to enable this unless it is actually called
16%
12.02.2013
in to another node (n0
in this case). On the first login, the modules are loaded on the remote node. On the second login, with NOMODULES
set, no modules are available:
$ module list
Currently Loaded
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16.05.2013
in Listing 2, in which two modules are loaded (fftw and mpich2) before logging in to another node (n0 in this case). On the first login, the modules are loaded on the remote node. On the second login
16%
04.04.2023
.
For practical use, you first need to call kinit with the -n option to give you an anonymous TGT:
kinit -n
klist
Ticket cache: KCM:0
Default principal: WELLKNOWN/ANONYMOUS@WELLKNOWN:ANONYMOUS
[...]
You can now
16%
22.12.2017
_GET_NUM_THREADS()
N = NMAX/NUM_THREADS
ITHREAD = OMP_GET_THREAD_NUM()
IF ( ITHREAD == 0 ) THEN
PRINT *, "num_threads = ", NUM_THREADS
PRINT *, "n = ", N
ENDIF
! ----------------------------------
! Find my own
