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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NOT PEER REVIEWED
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Authors
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Narendra Jadhav1 , Mahimna Bhuskute1 , Shardul Joshi1 , Akhilesh Dixit1 , Fatima Inamdar1
- Vishwakarma Institute of InformationTechnology, Pune
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Conference / event
- BTech Project Presentation, VIIT, April 2024 (Pune, India)
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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.
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Keywords
- High-Performance Computing, Big Data, Parallel Processing, Efficiency, Scalability, Fault Tolerance
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Research areas
- Computer and Information Science
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References
- No data provided
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Funding
- No data provided
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Supplemental files
- No data provided
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Additional information
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- 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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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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