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High Performance Computing for Big Data: Methodologies and Applications

Author(s) Name:  Chao Wang

About the Book:

   The book presents state-of-the-art research, methodologies, and applications of high performance computing for big data applications. It covers fundamental issues in Big Data 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, finance, life sciences, and neuromorphic engineering.

Table of Contents

  • Chapter 1 ◾ Dataflow Model for Cloud Computing 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 Architecture for Data-Intensive Applications
  • Chapter 5 ◾ Matrix Factorization for Drug–Target Interaction Prediction
  • Chapter 6 ◾ Overview of Neural Network 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
  • ISBN:  9781498783996

    Publisher:  Chapman and Hall/CRC

    Year of Publication:  2017

    Book Link:  Home Page Url