/libmkl_intel_thread.a
$(MKLROOT)/lib/em64t/libmkl_core.a -Wl,--end-group -openmp -lpthread
On Mon, Mar 14, 2011 at 11:58 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Tue, Mar 15, 2011 at 8:12 AM, Mag Gam magaw...@gmail.com wrote:
Trying to compile Numpy with Intel's MKL. I have exported
Trying to compile Numpy with Intel's MKL. I have exported the proper
paths for BLAS and LAPACK and I think the build script found it.
However, I am having a lot of trouble with ATLAS. What library file
should I use for it?
tia
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Planning to compile Numpy with Intel C compiler
(http://www.scipy.org/Installing_SciPy/Linux#head-7ce43956a69ec51c6f2cedd894a4715d5bfff974).
I was wondering if there was a benefit.
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be faster then the access to the multiple dictionnary access. But
don't forget, you change an algo of O(n), by O(nlogn) with a lower constant.
So the n should not be too big. Just try different value.
Frédéric Bastien
On Thu, Jul 9, 2009 at 7:14 AM, Mag Gam magaw...@gmail.com wrote:
The problem
The problem is the array is very large. We are talking about 200+ million rows.
On Thu, Jul 9, 2009 at 4:41 AM, David Warde-Farleyd...@cs.toronto.edu wrote:
On 9-Jul-09, at 1:12 AM, Mag Gam wrote:
Here is what I have, which does it 1x1:
z={} #dictionary
r=csv.reader(file)
for i,row
Hey All
I am reading thru a file and trying to store the values into another
array, but instead of storing the values 1 by 1, I would like to store
them in bulk sets for optimization purposes.
Here is what I have, which does it 1x1:
z={} #dictionary
r=csv.reader(file)
for i,row in
Is it possible to use loadtxt in a mult thread way? Basically, I want
to process a very large CSV file (100+ million records) and instead of
loading thousand elements into a buffer process and then load another
1 thousand elements and process and so on...
I was wondering if there is a technique
a some sample
code for mapping a compressed csv file into memory? and loading the
dataset into a dset (hdf5 structure)?
TIA
On Thu, Jun 25, 2009 at 9:50 PM, Anne
Archibaldperidot.face...@gmail.com wrote:
2009/6/25 Mag Gam magaw...@gmail.com:
Hello.
I am very new to NumPy and Python. We
:
A Friday 26 June 2009 12:38:11 Mag Gam escrigué:
Thanks everyone for the great and well thought out responses!
To make matters worse, this is actually a 50gb compressed csv file. So
it looks like this, 2009.06.01.plasmasub.csv.gz
We get this data from another lab from the Westcoast every night
.
On Fri, Jun 26, 2009 at 7:31 AM, Francesc Altedfal...@pytables.org wrote:
A Friday 26 June 2009 13:09:13 Mag Gam escrigué:
I really like the slice by slice idea!
Hmm, after looking at the np.loadtxt() docstrings it seems it works by loading
the complete file at once, so you shouldn't use
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