<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Christian Grothoff</AUTHOR>
		<AUTHOR>Krista Grothoff</AUTHOR>
		<AUTHOR>Matthew J. Rutherford</AUTHOR>
		<AUTHOR>Kai Christian Bader</AUTHOR>
		<AUTHOR>Harald Meier</AUTHOR>
		<AUTHOR>Craig Ritzdorf</AUTHOR>
		<AUTHOR>Tilo Eissler</AUTHOR>
		<AUTHOR>Nathan Evans</AUTHOR>
		<AUTHOR>Chris GauthierDickey</AUTHOR>
	</AUTHORS>
	<YEAR>2010</YEAR>
	<TITLE>DUP: A  Distributed Stream Processing Language</TITLE>
	<SECONDARY_TITLE>IFIP International Conference on Network and Parallel Computing</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Zhengzhou, China</PLACE_PUBLISHED>
	<PUBLISHER>Springer Verlag</PUBLISHER>
	<KEYWORDS>
		<KEYWORD>dup</KEYWORD>
		<KEYWORD>primer</KEYWORD>
		<KEYWORD>search</KEYWORD>
		<KEYWORD>ARB</KEYWORD>
		<KEYWORD>bioinformatics</KEYWORD>
		<KEYWORD>DUP assembly</KEYWORD>
		<KEYWORD>DUP runtime</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>This paper introduces the DUP System, a simple framework for parallel stream processing.  The DUP System enables developers to compose applications from stages written in almost any programming language and to run distributed streaming applications across all POSIX-compatible platforms.  Parallel applications written with the DUP System do not suffer from many of the problems that exist in traditional parallel languages.  The DUP System includes a range of simple stages that serve as general-purpose building blocks for larger
applications.

This work describes the DUP assembly language, the DUP architecture and some of the stages included in the DUP run-time library.  We then present our experiences with parallelizing and distributing the ARB Project, a package of tools for RNA/DNA sequence database handling and analysis.
</ABSTRACT>
</RECORD>
</RECORDS></XML>
