**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-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.
