%0 Conference Proceedings
%T Distributed Stream Processing with DUP
%+ Faculty of Informatics
%+ Department of Computer Science
%A Bader, Kai Christian
%A Eissler, Tilo
%A Evans, Nathan
%A Gauthierdickey, Chris
%A Grothoff, Christian
%A Grothoff, Krista
%A Keene, Jeff
%A Meier, Harald
%A Ritzdorf, Craig
%A Rutherford, Matthew J.
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B IFIP International Conference on Network and Parallel Computing (NPC)
%C Zhengzhou, China
%Y Chen Ding; Zhiyuan Shao; Ran Zheng
%I Springer
%3 Network and Parallel Computing
%V LNCS-6289
%P 232-246
%8 2010-09-13
%D 2010
%R 10.1007/978-3-642-15672-4_21
%K Coordination language
%K parallel programming
%K productivity
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01054979/document
%2 https://inria.hal.science/hal-01054979/file/main.pdf
%L hal-01054979
%U https://inria.hal.science/hal-01054979
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6289
%~ IFIP-NPC
%~ IFIP-2010