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.
eBook - ePub
High-Performance Big Data Computing
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
High-Performance Big Data Computing
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Information
Subtopic
Computer Science GeneralIndex
Computer ScienceTable of contents
- Cover
- Title Page
- Copyright
- Table of Contents
- Acknowledgments
- 1. Introduction
- 2. Parallel Programming Models and Systems
- 3. Parallel and Distributed Storage Systems
- 4. HPC Architectures and Trends
- 5. Opportunities and Challenges in Accelerating Big Data Computing
- 6. Benchmarking Big Data Systems
- 7. Accelerations with RDMA
- 8. Accelerations with Multicore/Accelerator Technologies
- 9. Accelerations with High-Performance Storage Technologies
- 10. Deep Learning over Big Data
- 11. Designs with Cloud Technologies
- 12. Frontier Research on High-Performance Big Data Computing
- References
- 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 1.5 million books available in our catalogue for you to explore.