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Can I read High-Performance Big Data Computing (Scientific and Engineering Computation) on EtoBox?
High-Performance Big Data Computing (Scientific and Engineering Computation) by Dhabaleswar K. Panda, Xiaoyi Lu, Dipti Shankar is a nonfiction available to read on EtoBox.
What is High-Performance Big Data Computing (Scientific and Engineering Computation) about?
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. 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-performanc
Who reads High-Performance Big Data Computing (Scientific and Engineering Computation)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dhabaleswar K. Panda, Xiaoyi Lu, Dipti Shankar
- Publisher
- MIT Press; The MIT Press
- Published
- 2022
- Language
- EN
- ISBN
- 9780262046855
- Category
- nonfiction
- Subjects
- Science, Computer Science, Mathematics
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