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	revision 97, Thu May 27 19:47:26 2010 UTC	revision 100, Fri May 28 14:45:44 2010 UTC
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4	\chapter{Introduction}	\chapter{Introduction}
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6		Diderot is a domain-specific language for programming image analysis algorithms on
7		parallel hardware.
8		It supports a high-level programming model based on the mathematics of continuous
9		tensor fields that are reconstructed from discrete image-data sets (\eg{}, MRI data).
10		Diderot is also designed to be implemented on parallel hardware.
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12		\section{Basic concepts}
13		The design of Diderot is based on three core concepts: image data, the continuous fields
14		that are reconstructed from them, and the actors that represent the computations over
15		the fields.
16		We give a high-level overview of these in this section.
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18		\subsection{Images}
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20		\subsection{Fields}
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22		\subsection{Actors}
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25		\section{Diderot by example}
26		% include VR example here

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