High Performance Computing for Big Data: Methodologies and Applications

High Performance Computing for Big Data: Methodologies and Applications Front Cover
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2017-11-06
288 pages

Book Description

Organized into four main sections, this book will present state-of-the-art research, methodologies, and applications of high performance for applications. It will cover fundamental issues in research, including emerging high performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, , life sciences, and neuromorphic engineering.

Table of Contents

SECTION I Big Data Architectures
CHAPTER 1 Dataflow Model for Frameworks in Big Data
CHAPTER 2 Design of a Processor Core Customized for Stencil Computation
CHAPTER 3 Electromigration Alleviation Techniques for 3D Integrated Circuits
CHAPTER 4 A 3D Hybrid Cache Design for CMP for Data-Intensive Applications

SECTION II Emerging Big Data Applications
CHAPTER 5 Matrix Factorization for Drug-Target Interaction Prediction
CHAPTER 6 Overview of Neural Accelerators
CHAPTER 7 Acceleration for Recommendation Algorithms in Data Mining
CHAPTER 8 Deep Learning Accelerators
CHAPTER 9 Recent Advances for Neural Networks Accelerators and Optimizations
CHAPTER 10 Accelerators for Clustering Applications in Machine Learning
CHAPTER 11 Accelerators for Classification Algorithms in Machine Learning
CHAPTER 12 Accelerators for Big Data Genome Sequencing

Book Details

  • Title: High Performance Computing for Big Data: Methodologies and Applications
  • Length: 288 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2017-11-06
  • ISBN-10: 1498783996
  • ISBN-13: 9781498783996
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