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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/8120
Title: A Domain Specific Language for Clustering
Authors: Goyal, Navneet
Goyal, Poonam
Keywords: Computer Science
Clustering
Domain Specific Language
High Performance Computing
Big Data
Issue Date: Nov-2016
Publisher: Springer
Abstract: Clustering of large volumes of data is a complex problem which requires use of sophisticated algorithms as well as High Performance Computing hardware like a cluster of computers. It is highly desirable that data mining experts have a solution which on one hand provides a simple interface for ex-pressing their algorithms in terms of domain specific idioms and on the other hand automatically generates parallel code that can run on a cluster of multicore nodes. The proposed Domain Specific Language (DSL) along with its parallelizing compiler attempts to provide a solution. In this paper, we give the design of the DSL, called DWARF. Various language constructs have been described along with the rationale behind their inclusion in the language. A qualitative comparison of abstraction provided by DWARF is compared with MapReduce, Spark, and other MPI-based implementations to establish the usefulness of the proposed clustering DSL.
URI: https://link.springer.com/chapter/10.1007/978-3-319-50472-8_19
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8120
Appears in Collections:Department of Computer Science and Information Systems

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