基于GARUDA网格的高性能自然语言处理服务

2013 National Conference on Parallel Computing Technologies (PARCOMPTECH) Pub Date : 2013-10-08 DOI:10.1109/PARCOMPTECH.2013.6621407

A. Tomar, Jahnavi Bodhankar, Pavan Kurariya, Pramod Anarase, Priyanka Jain, Anuradha Lele, H. Darbari, V. Bhavsar

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引用次数: 5

摘要

本文的主要目的是介绍一种高性能的自然语言处理服务，以满足自然语言计算领域的研究人员和用户的需求。我们考虑了浦那C-DAC应用人工组开发的各种NLP组件，并在GARUDA网格上进行并行化。我们证明了几乎线性的加速是实现良好的效率。使用32个处理器，我们实现了超过19倍的加速。这使我们能够提供高性能可扩展的NLP Web服务。此外，GARUDA网格提供高可用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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High performance natural language processing services on the GARUDA grid

The main objective of this paper is to introduce a high performance natural language processing (NLP) service to fulfill the needs of researchers and users in the area of natural language computing. We consider various NLP components developed at Applied Artificial Group of C-DAC Pune, and carry out parallelization on the GARUDA grid. We demonstrate that almost linear speedup is achieved with good efficiencies. With 32 processors, we have achieved a speedup of more than 19. This allows us to offer high performance scalable NLP Web services. Further, the GARUDA grid offers high availability.

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2013 National Conference on Parallel Computing Technologies (PARCOMPTECH)

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