Dennis Fetterly and Frank McSherry
19 July 2010
In this work, we describe the collection of information retrieval algorithms we have implemented using DryadLINQ. DryadLINQ is a data parallel processing system that allows programmers to write distributed programs without worrying about the implementation of a distributed system. DryadLINQ executes programs containing SQL-like Language Integrated Query statements (LINQ) by shipping the computation to nodes in the cluster for parallel execution. The ability to break a computation into many pieces that can be processed on individual machines means that even a small number of computers can be leveraged to reduce the time necessary to process large collections.
|Published in||Proceedings of SIGIR|
|Publisher||Association for Computing Machinery, Inc.|
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or firstname.lastname@example.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.