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Development of Common Parallel Programming Platform for MPI and PVM

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 325))

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Abstract

Parallel virtual machine (PVM) and message-passing interface (MPI) are the most successful message-passing libraries to map parallel algorithm onto parallel computing platform. Configuration of MPI and PVM in the nodes present in parallel computing environment (desktop PC’s interconnected using ethernet LAN) is the time-consuming task for a user. This configuration procedure requires lot of knowledge about the steps to be followed to make them work properly. Configuration becomes the difficult task when there are more number of nodes in the parallel computing environment. Our work aims on developing a common parallel programming platform, which allows a user to get MPI and PVM in the nodes without any time-consuming configuration steps. This is done by integrating the recent version of PVM: PVM3.4.6 into the MPI’s MPICH2 packages in order to simplify the time-consuming task of configuring them separately.

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References

  1. MPICH2.:A new start for MPI implementations, in Recent Advances in Parallel Virtual Machine and Message Passing Interface. Lecture Notes in Computer Science, vol. 2474 (2002), pp. 7–15

    Google Scholar 

  2. M.A. Ismail, S.H. Mirza, T. Altaf, Concurrent matrix multiplication on multi-core processors. Int. J. Comput. Sci. Secur. 5(2), 208–220 (2011)

    Google Scholar 

  3. E. Mancini, M. Rak, R. Torella, U. Villano, Off-line performance prediction of message-passing applications on cluster systems, in Euro PVM/MPI (2003), pp. 45–54

    Google Scholar 

  4. H. Jin, R. Buyya, M. Baker, Cluster computing tools, applications, and Australian initiatives for low cost supercomputing. MONITOR Mag. (The Institution of Engineers Australia) 25(4) (2001)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of CS and E, Prodha Devaraya Institute of Technology, Hospet, Karnataka, India

    Veerabasavantha Swamy

  2. Department of CS and E, Shri Venkateshwara University, Gajraula, Uttarpradesh, India

    S. Sampath

  3. Department of IS and E, Adichunchanagiri Institute of Technology, Chikmagalur, Karnataka, India

    B. R. Nanjesh

  4. Department of IS and E, Birla Institute of Technology, Noida, Uttarpradesh, India

    Bharat Bhushan Sagar

Authors
  1. Veerabasavantha Swamy
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  2. S. Sampath
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  3. B. R. Nanjesh
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  4. Bharat Bhushan Sagar
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Corresponding author

Correspondence to Veerabasavantha Swamy .

Editor information

Editors and Affiliations

  1. Electrical & Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L Padma Suresh

  2. Electrical and Electronics Engineering, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  3. Electrical Engineering, IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Swamy, V., Sampath, S., Nanjesh, B.R., Sagar, B.B. (2015). Development of Common Parallel Programming Platform for MPI and PVM. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 325. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2135-7_12

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  • DOI: https://doi.org/10.1007/978-81-322-2135-7_12

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2134-0

  • Online ISBN: 978-81-322-2135-7

  • eBook Packages: EngineeringEngineering (R0)

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