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High Performance Computing in Big Data Processing

PUBLISHED May 08, 2024 (DOI: https://doi.org/10.54985/peeref.2405p3662657)

NOT PEER REVIEWED

Authors

Narendra Jadhav1 , Mahimna Bhuskute1 , Shardul Joshi1 , Akhilesh Dixit1 , Fatima Inamdar1
  1. Vishwakarma Institute of InformationTechnology, Pune

Conference / event

BTech Project Presentation, VIIT, April 2024 (Pune, India)

Poster summary

High-Performance Computing (HPC) plays a crucial role in processing Big Data, which refers to large and complex datasets that traditional data processing applications struggle to handle. HPC systems utilize advanced computing techniques and parallel processing to efficiently analyze, store, and manipulate massive amounts of data. By harnessing the power of HPC, organizations can extract valuable insights, optimize decision-making processes, and drive innovation in various fields such as science, healthcare, finance, and more. This poster presentation will explore the intersection of HPC and Big Data processing, highlighting key technologies, challenges, and applications in this rapidly evolving domain.

Keywords

High-Performance Computing, Big Data, Parallel Processing, Efficiency, Scalability, Fault Tolerance

Research areas

Computer and Information Science

References

No data provided

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests
No competing interests were disclosed.
Data availability statement
Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.
Creative Commons license
Copyright © 2024 Jadhav et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Cite
Jadhav, N., Bhuskute, M., Joshi, S., Dixit, A., Inamdar, F. High Performance Computing in Big Data Processing [not peer reviewed]. Peeref 2024 (poster).
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