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Comparison of Runtime Performance Optimization Using Template-Metaprogramming

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Smart and Innovative Trends in Next Generation Computing Technologies (NGCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 827))

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Abstract

Programs capable of generating code are known as meta-programs and the technique of writing these programs is known as meta programming Meta programming is supported by various programming languages such as C#, where reflection is used; Ruby allows defining classes and methods at runtime using meta-programming; the first language to introduce the concept of meta-programming was LISP. The meta-programs written using these languages are generally parsers, theorem proofs and interpreters. In this paper, we’ll be demonstrating the use of meta-programming in C++ through template meta-programming (TMP). We pick up common mathematical operations, creating a run time code of them along with a compile time based equivalent code done through TMP. The two set of codes are then benchmarked on the basis of their execution time and a bar-graph is generated to compare the TMP and non-TMP programs.

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Authors and Affiliations

  1. University of Petroleum and Energy Studies, Dehradun, 248007, India

    Vivek Patel, Piyush Mishra, J. C. Patni & Parul Mittal

Authors
  1. Vivek Patel
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  2. Piyush Mishra
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  3. J. C. Patni
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  4. Parul Mittal
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Corresponding author

Correspondence to Piyush Mishra .

Editor information

Editors and Affiliations

  1. Indian Institute of Technology Patna, Patna, Bihar, India

    Pushpak Bhattacharyya

  2. University of Petroleum and Energy Studies, Dehradun, India

    Hanumat G. Sastry

  3. University of Petroleum and Energy Studies, Dehradun, India

    Venkatadri Marriboyina

  4. University of Petroleum and Energy Studies, Dehradun, India

    Rashmi Sharma

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Patel, V., Mishra, P., Patni, J.C., Mittal, P. (2018). Comparison of Runtime Performance Optimization Using Template-Metaprogramming. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-10-8657-1_11

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  • DOI: https://doi.org/10.1007/978-981-10-8657-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8656-4

  • Online ISBN: 978-981-10-8657-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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