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August 22, 2013 12:45
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Poster preview for the GC3Pie poster @ EuroSciPy 2013
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\documentclass[final,english,serif]{beamer} | |
\usetheme{gc3} | |
\usepackage[T1]{fontenc} | |
\usepackage[utf8]{inputenc} | |
\usepackage[english]{babel} | |
\usepackage{graphicx} | |
\usepackage{gc3} | |
%\title{Py \emph{vs.}~Py} | |
%\subtitle{A comparison of Python runtimes on a non-numeric scientific code} | |
\author[R.~Murri et~al.]{Riccardo Murri, Sergio Maffioletti, Antonio Messina} | |
\institute[GC3]{Grid Computing Competence Center \\ University of Zurich} | |
\date{EuroSciPy, Aug.~23--24, 2013} | |
\def\It{\href{http://gc3pie.googlecode.com/}{GC3Pie}\space} | |
\begin{document} | |
\begin{frame} | |
\frametitle{} | |
\begin{center} | |
{\Large Yet another remote execution framework? ;-)} | |
\\ \+ | |
\emph{\It is \texttt{subprocess} on steroids}: \\ runs commands on virtual | |
machines in the cloud, \\ batch-queueing systems, computational | |
grids, \\ or anything you can SSH into. | |
\\ \+ | |
The poster shows how to \\ run \emph{model calibration} on a large | |
economic model, \\ requiring some 100'000 CPU hours to compute. | |
\end{center} | |
\end{frame} | |
\end{document} | |
%% Local Variables: | |
%% mode: latex | |
%% TeX-PDF-mode: t | |
%% End: |
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