Hi Everybody,
from some weeks I am trying to do Big data calculus using all the parallel
tools.
Is somebody have examples of code ?
The documentation of Julia is not enough complete for me.
I found some tutorials, and also for me it is not enough clear.
How to do efficient parallel
16:51:48 UTC+2, antony schutz a écrit :
Hello,
I just discover abs2() function :v
And I have to say that i'm really surprised that:
sqrt(abs2( x )) is quicker than abs( x )
For a Matrix of size 512*512 and then a vector of size 512
1 realizations, the mean results
Hello,
I just discover abs2() function :v
And I have to say that i'm really surprised that:
sqrt(abs2( x )) is quicker than abs( x )
For a Matrix of size 512*512 and then a vector of size 512
1 realizations, the mean results are (on a macbook):
abs(x[:,:])
0.0073665214096
: Loading help data...*
*julia **mymainfct(2,2,true)*
*ERROR: imshow not defined*
* in mymainfct at /Users/antonyschutz/.julia/v0.3/MyModule/src/mymain.jl:7*
Le jeudi 12 mars 2015 16:07:22 UTC+1, antony schutz a écrit :
Hello
I'm trying to generalize an algorithm for alpha user
Hello
I'm trying to generalize an algorithm for alpha user.
The algorithm can draw plot but I dont want this to be mandatory, so in the
module i don't import the library (for example, i dont call using
PyPlot)
I want the plot drawing to be an option and has to be done by the user.
is slower than repmat ,
for example:
*tic(); repmat([1:10],1000,1000); toc()*
elapsed time: 0.035878247 seconds
*tic(); **repeat([1:10],outer=[1000,1000]);** toc()*
elapsed time: 1.176858309 seconds
Thanks
Le vendredi 27 février 2015 15:11:10 UTC+1, antony schutz a écrit :
Hello,
I
Hello,
I have a question about the best way to implement a grid similar to a mesh
grid:
My first intuition was to do the following:
nx = 256
nb = 195
kx = [-nx/2:-1+nx/2]
tic()
k1 = repmat(kx,1,nx)
k1v = vec(k1)'#/nx
k1m = repmat(k1v,nb,1)
toc()
# 0.0256 sec
Then I tried in one
Hello
I'm testing the best way to do a grid like, I tried the 2 following
methods:
tic()
k1 = repmat(kx,1,nx)
k1v = vec(k1)'
k1m = repmat(k1v,nb,1)
toc()
# 0.0256
tic()
ka = repeat(kx,outer=[nx,nb])'
toc()
# 0.477
I dont understand why the second way with the one line repeat is 20 times
