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mpi4py.scipy.org

MPI for Python

Http:/ mpi4py.readthedocs.org/. Http:/ mpi4py.scipy.org/. Hosted at Google Groups:. Group Page: http:/ groups.google.com/group/mpi4py. Mailing List: mpi4py @. Project Site: https:/ bitbucket.org/mpi4py/mpi4py. Source Releases: https:/ bitbucket.org/mpi4py/mpi4py/downloads. Issue Tracker: https:/ bitbucket.org/mpi4py/mpi4py/issues. Git Repository: https:/ bitbucket.org/mpi4py/mpi4py.git. L Dalcin, P. Kler, R. Paz, and A. Cosimo,. Parallel Distributed Computing using Python.

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MPI for Python | mpi4py.scipy.org Reviews

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Http:/ mpi4py.readthedocs.org/. Http:/ mpi4py.scipy.org/. Hosted at Google Groups:. Group Page: http:/ groups.google.com/group/mpi4py. Mailing List: mpi4py @. Project Site: https:/ bitbucket.org/mpi4py/mpi4py. Source Releases: https:/ bitbucket.org/mpi4py/mpi4py/downloads. Issue Tracker: https:/ bitbucket.org/mpi4py/mpi4py/issues. Git Repository: https:/ bitbucket.org/mpi4py/mpi4py.git. L Dalcin, P. Kler, R. Paz, and A. Cosimo,. Parallel Distributed Computing using Python.

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MPI for Python

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MPI for Python — MPI for Python v1.3 documentation

http://mpi4py.scipy.org/docs/usrman/index.html

MPI for Python v1.3 documentation. Http:/ mpi4py.googlecode.com. CCT CONICET, (3000) Santa Fe, Argentina. January 20, 2012. This document has been placed in the public domain. This document describes the. Provides bindings of the. MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. Python object, as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects).

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PyFR

http://www.pyfr.org/user_guide.php

PyFR can be obtained here. PyFR 1.4.0 has a hard dependency on Python 3.3 and the following Python packages:. Note that due to a bug in numpy. PyFR is not compatible with 32-bit Python distributions. The CUDA backend targets NVIDIA GPUs with a compute capability of 2.0 or greater. The backend requires:. The MIC backend targets Intel Xeon Phi co-processors. The backend requires:. ICC = 14.0. Intel MKL = 11.1. Intel MPSS = 3.3. 07 (post commit 4d8a2da). GCC = 4.7. 33 (develop branch post commit e0faea6).

k-d-w.org k-d-w.org

MPI-based Nested Cross-Validation for scikit-learn | Sebastian Pölsterl's blog

http://k-d-w.org/node/95

Where he blogs about his latest hacking adventures. MPI-based Nested Cross-Validation for scikit-learn. The Wrong and Right Way to Do Cross-validation. In the excellent book The Elements of Statistical Learning. For instance, scikit-learn's Support Vector Regression class. Has at least two hyper-parameters, the penalty weight. It is important that the numbers you report in the end were retrieved from data you only used once. To measure performance. To avoid the pitfalls of. You essentially have to nest.

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Add new comment | Sebastian Pölsterl's blog

http://k-d-w.org/comment/reply/95

Where he blogs about his latest hacking adventures. MPI-based Nested Cross-Validation for scikit-learn. The Wrong and Right Way to Do Cross-validation. In the excellent book The Elements of Statistical Learning. For instance, scikit-learn's Support Vector Regression class. Has at least two hyper-parameters, the penalty weight. It is important that the numbers you report in the end were retrieved from data you only used once. To measure performance. To avoid the pitfalls of. You essentially have to nest.

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Ben Jimenez | aerospace and computational science commentary | Page 2

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Aerospace and computational science commentary. Skip to primary content. Skip to secondary content. Newer posts →. Installing gcc and gfortran for Mac OS X (10.7.3). Things you’ll need:. Knowledge of how to use the terminal. A Mac developer account (you can get this as we go along). Copy of Xcode (free). About an hour of your time (30 minutes downloading, 15-30 minutes doing things). Download and install Xcode. Download command line tools. Download and install gfortran from other source. After considerin...

hpcla.blogspot.com hpcla.blogspot.com

High Performance Computing in Latin America: December 2014

http://hpcla.blogspot.com/2014_12_01_archive.html

High Performance Computing in Latin America. Where you will find all the news about HPC in the region. Sunday, December 21, 2014. Create a CUDA Center in your country. In a previous post. We reported on the Intel Parallel Computing Centers (IPCC) and the opportunities that open up by bringing to your country a specialized laboratory on accelerator technology. This time, it is the turn of CUDA centers, a similar and well-established initiative by NVIDIA. The most recent release of the Top500 list. Designe...

poelsterl.net poelsterl.net

Add new comment | Sebastian Pölsterl's blog

http://www.poelsterl.net/comment/reply/95

Where he blogs about his latest hacking adventures. MPI-based Nested Cross-Validation for scikit-learn. The Wrong and Right Way to Do Cross-validation. In the excellent book The Elements of Statistical Learning. For instance, scikit-learn's Support Vector Regression class. Has at least two hyper-parameters, the penalty weight. It is important that the numbers you report in the end were retrieved from data you only used once. To measure performance. To avoid the pitfalls of. You essentially have to nest.

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2E Rue Abraham Lincoln. Tél. 02 40 81 03 80. Fax 02 40 81 05 76. MPI Informatique devient Keysource! Découvrez notre nouveau site internet : www.keysource.eu. Nos activités restent identiques :. Bull; Vente et installation de matériels informatique pour les professionnels. Bull; Dépannage informatique. Bull; Conception de vos réseaux informatique. Bull; Développement de solutions logicielles sur mesure. Bull; Création de sites internet pour les professionnels.

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Embedded Systems

Digital World.Digital Life. For best performance use Google chrome Download link. This blog is Developed for all Engineering students who are facing the problem with Micro controllers and Microprocessors.to spread the awareness on embedded systems. These applications are 'vision driven', as in the following examples:. Automotive: Accident free driving. Aerospace: A free, safe sky for all. Medical Devices: Robotic surgeon. Future Trends in Embedded System:-. Subscribe to: Posts (Atom). Learning is an acti...

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MPI for Python — MPI for Python 2.0.0 documentation

CCT CONICET, (3000) Santa Fe, Argentina. October 29, 2016. This document describes the. Provides bindings of the. MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. This package is constructed on top of the MPI-1/2/3 specifications and provides an object oriented interface which resembles the MPI-2 C bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any. On Read the Docs.

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MPI for Python

Http:/ mpi4py.readthedocs.org/. Http:/ mpi4py.scipy.org/. Hosted at Google Groups:. Group Page: http:/ groups.google.com/group/mpi4py. Mailing List: mpi4py @. Project Site: https:/ bitbucket.org/mpi4py/mpi4py. Source Releases: https:/ bitbucket.org/mpi4py/mpi4py/downloads. Issue Tracker: https:/ bitbucket.org/mpi4py/mpi4py/issues. Git Repository: https:/ bitbucket.org/mpi4py/mpi4py.git. L Dalcin, P. Kler, R. Paz, and A. Cosimo,. Parallel Distributed Computing using Python.

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