High Performance Computing in Big Data Processing

作者

Narendra Jadhav¹ , Mahimna Bhuskute¹ , Shardul Joshi¹ , Akhilesh Dixit¹ , Fatima Inamdar¹

1. Vishwakarma Institute of InformationTechnology, Pune

会议/活动

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

海报摘要

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.

关键词

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

研究领域

Computer and Information Science

参考文献

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基金

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补充材料

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附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

知识共享许可协议

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.