Efficient Development of Parallel NLP Applications

Jindal, Prateek; Roth, Dan; Kale, Laxmikant V.

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https://hdl.handle.net/2142/46406 Copy

Description

Title

Efficient Development of Parallel NLP Applications

Author(s)

• Jindal, Prateek
• Roth, Dan
• Kale, Laxmikant V.

Issue Date

2013-12-04

Keyword(s)

• Natural Language Processing
• Learning Based Java
• Charm++

Abstract

Parallel programming is becoming increasingly popular. Computers have increasingly many cores (processors). Also, large computer-clusters are becoming available. But there is still no good programming framework for these architectures, and thus no simple and unified way for NLP applications to take advantage of the potential speed up. In this paper, we develop a broadly applicable parallel programming method to solve NLP problems. Our work is in distinct contrast to the tradition of designing (often ingenious) ways to speed up a single algorithm at a time. Specifically, we show how the problems which can be expressed in LBJ framework take advantage of parallelization. We use Charm++ to demonstrate the speed up of NLP applications.

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/46406

Copyright and License Information

2013 by Prateek Jindal

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