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Transfer Time Optimization Between CPU and GPU for Virus Signature Scanning

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Advanced Informatics for Computing Research (ICAICR 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1076))

Abstract

A rapid growth in technology had produced a massive amount of data generated from data mining, social networks, space searching, network analysis, and also scientific computing followed by the n number of a data sequence. To scan all these data packets is a major task for CPU. To process this large data and scan that data whether if it contain virus string. It is a big task for CPU as it has to scan all packets without missing any packets. CPU scan all these packets which is time consuming process and also suffer from load imbalance and irregular memory access. The computing power of GPUs is used for speed up large scale data for parallel computations.

In the proposed work system is going to make use of GPU to accelerate the speed of scanning data packets using the multi-pattern match. System is going to reduce the transfer time between CPU and GPU by using pin memory concept. It is going to share common memory between CPU and GPU. It not only speedup the execution but also return result to CPU in minimal time. It will optimize excecution time and also reduce transfer time by 80%. It will handle the performance issues, there are lightweight approximate sorting and data transformation. It will make the system 10 time faster than existing. The optimization techniques significantly improve the performance of the system by making asynchronous call. CUDA is the software platform that supports GPUs by Nvidia.

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Acknowledgment

I would sincerely like to thank our Head of Department Prof. (Dr.) Amol Potgantwar Computer Engineering, SITRC, Nashik for their guidance, encouragement and the interest shown in this project by timely suggestions in this work. His expert suggestions and scholarly feedback had greatly enhanced the effectiveness of this work.

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Authors and Affiliations

  1. Sandip Institute of Technology and Research Centre, Nashik, India

    Apurva Anil Dhake & Sandip M. Walunj

Authors
  1. Apurva Anil Dhake
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  2. Sandip M. Walunj
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Corresponding authors

Correspondence to Apurva Anil Dhake or Sandip M. Walunj .

Editor information

Editors and Affiliations

  1. Papua New Guinea University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. Computer Science Department, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  4. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Canada

    Pawan Lingras

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Dhake, A.A., Walunj, S.M. (2019). Transfer Time Optimization Between CPU and GPU for Virus Signature Scanning. In: Luhach, A., Jat, D., Hawari, K., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2019. Communications in Computer and Information Science, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0111-1_6

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  • DOI: https://doi.org/10.1007/978-981-15-0111-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0110-4

  • Online ISBN: 978-981-15-0111-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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