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Analysis of Multithreading in Java for Symbolic Computation on Multicore Processors

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Emerging Trends in Computing and Communication

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 298))

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Abstract

In this paper we have described the impact on efficiency of algebraic computation due to multi core systems using java as the programming language. Hence we had taken two machines with different specification having variants of Windows in them and made a comparative analysis taking five different input samples. During this process we came across several aspects on which the computation performance depends upon. In succeeding discussion we have given a vivid description of how these factors show variations when they are blended in different quantities thereby justifying the need of a robust algorithm and a high performance system for efficient computation of mathematical expressions with varying complexities.

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References

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Author information

Authors and Affiliations

  1. High Performance Computing Lab, School of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, Odisha, India

    Pawan Raj Murarka, Motahar Reza & Rama Ranjan Panda

Authors
  1. Pawan Raj Murarka
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  2. Motahar Reza
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  3. Rama Ranjan Panda
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Corresponding authors

Correspondence to Pawan Raj Murarka or Motahar Reza .

Editor information

Editors and Affiliations

  1. Department of Information Technology, BP Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Sabnam Sengupta

  2. Department of Information Technology, BP Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Kunal Das

  3. Department of Information Technology, BP Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Gitosree Khan

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Murarka, P.R., Reza, M., Panda, R.R. (2014). Analysis of Multithreading in Java for Symbolic Computation on Multicore Processors. In: Sengupta, S., Das, K., Khan, G. (eds) Emerging Trends in Computing and Communication. Lecture Notes in Electrical Engineering, vol 298. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1817-3_31

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  • DOI: https://doi.org/10.1007/978-81-322-1817-3_31

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1816-6

  • Online ISBN: 978-81-322-1817-3

  • eBook Packages: EngineeringEngineering (R0)

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