18%
19.06.2023
a = 100.0*np.random.random((N,N))
a.astype(np.float64)
print("a[5,5] = ",a[5,5]," type = ",a[5,5].dtype)
np.save('double', a)
b = np.copy(a)
b = b.astype(np.float32)
print("b[5,5] = ",b[5,5]," type = ",b[5
18%
31.10.2025
to the Windows desktop, but at a little less than 10MB, it is much more compact than Cygwin's 100MB and is also easier to install.
Alternatives
MobaXterm: A previous article [3] introduced Moba
18%
14.08.2017
:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K -rw-r--r-- 1 laytonjb laytonjb 261K 2014-06-09 20:31 FS_scan.csv.gz
The original file is 3.2MB, but after using gzip with the -9
18%
25.03.2020
GVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiJiNDVhMDhjMi1kMzg1LTQxMmItOTUwNS02YmRmODdiNjRhN2EiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6ZGVmYXVsdDp0ZXN0c2VydmljZWFjY291bnQifQ.SO9XwM3zgiW6sOfEaJx1P6
18%
02.02.2021
:
In Equation 1, a
is the application speedup, n
is the number of processors, and p
is the "parallel fraction" of the application (i.e., the fraction of the application that is parallelizable), ranging from 0
18%
16.05.2013
, with NOMODULES set, no modules are available:
Listing 2
Setting NOMODULES
$ module list
Currently Loaded Modulefiles:
1) fftw/3.3.2/gnu4 2) mpich2/1.4.1p1/gnu4
$ ssh n0
$ module list
Currently
18%
06.10.2019
);
19 printf("source: %s\ntarget: %s\n",source,target);
20 return 0;
21 }
Figure 3: Splint warns the programmer of a likely out
18%
12.02.2013
Modulefiles:
1) fftw/3.3.2/gnu4 2) mpich2/1.4.1p1/gnu4
$ ssh n0
$ module list
Currently Loaded Modulefiles:
1) fftw/3.3.2/gnu4 2) mpich2/1.4.1p1/gnu4
$ exit
$ export NOMODULES=1
$ ssh n0
$ module list
18%
03.02.2024
938G 718G 173G 81% /home
/dev/nvme0n1p1 511M 6.1M 505M 2% /boot/efi
/dev/sda1 5.5T 3.1T 2.1T 60% /home2
192.168.4.100:/home
18%
13.10.2020
You ha
ve parallelized your serial application
,
but as you use more cores you are
n
o
t seeing any improvement
in performance
. What gives?
... , a
is the application speedup, n
is the number of processors, and p
is the “parallel fraction” of the application (i.e., the fraction of the application that is parallelizable), ranging from 0 to 1. Equations are nice ...
You
ha
ve parallelized your serial application
,
but as you use more cores you are
n
o
t seeing any improvement
in performance
. What gives?
