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Paraflow: A dataflow distributed data-computing system

Williams, Roy and Sears, Bruce (1998) Paraflow: A dataflow distributed data-computing system. In: High-Performance Computing and Networking. Lecture Notes in Computer Science. No.1401. Springer , Berlin, Heidelberg, pp. 556-565. ISBN 9783540644439. https://resolver.caltech.edu/CaltechAUTHORS:20201215-151611216

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Abstract

We describe the Paraflow system for connecting heterogeneous computing services into a flexible and efficient data-mining metacomputer. There are three levels of parallelism: a dataflow paradigm provides functional parallelism, connecting services by channels; each service may be a SPMD parallel program; and each node of the SPMD service may be multithreaded. Paraflow is easily integrated with web-computing, using MIME types, HTTP forms, a Java GUI for setting up the network of services, and a simple API to allow web servers to be utilized in the computation. Emphasis is on providing a bridge from straightforward, public, unauthenticated browsing of data to collaborative, high-performance data-computing.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/bfb0037183DOIArticle
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Additional Information:© Springer-Verlag Berlin Heidelberg 1998.
Subject Keywords:Dataflow Graph; Gateway Service; Functional Parallelism; Symmetric Multiprocessor; Mime Type
Series Name:Lecture Notes in Computer Science
Issue or Number:1401
Record Number:CaltechAUTHORS:20201215-151611216
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201215-151611216
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107106
Collection:CaltechAUTHORS
Deposited By: Jason Perez
Deposited On:15 Dec 2020 23:35
Last Modified:15 Dec 2020 23:35

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