High-Performance Big Data Computing
eBook - ePub

High-Performance Big Data Computing

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

High-Performance Big Data Computing

About this book

Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions.

The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

Information

Publisher
The MIT Press
Year
2022
eBook ISBN
9780262369428
Edition
0
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Table of Contents
  5. Acknowledgments
  6. 1. Introduction
  7. 2. Parallel Programming Models and Systems
  8. 3. Parallel and Distributed Storage Systems
  9. 4. HPC Architectures and Trends
  10. 5. Opportunities and Challenges in Accelerating Big Data Computing
  11. 6. Benchmarking Big Data Systems
  12. 7. Accelerations with RDMA
  13. 8. Accelerations with Multicore/Accelerator Technologies
  14. 9. Accelerations with High-Performance Storage Technologies
  15. 10. Deep Learning over Big Data
  16. 11. Designs with Cloud Technologies
  17. 12. Frontier Research on High-Performance Big Data Computing
  18. References
  19. Index

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Yes, you can access High-Performance Big Data Computing by Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar, Ewing Lusk,William Gropp in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.