<P></P><B> <P>High-Performance Computing for Big Data: Methodologies and Applications </B>explores<B> </B>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
High performance computing for big data : methodologies and applications
โ Scribed by Wang, Chao
- Publisher
- CRC Press
- Year
- 2018
- Tongue
- English
- Leaves
- 286
- Series
- Chapman & Hall/CRC big data series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: Section I. Big data architectures --
Dataflow model for cloud computing frameworks in big data --
Design of a processor core customized for stencil computation --
Electromigration alleviation techniques for 3D integrated circuits --
A 3D hybrid cache design for CMP architecture for data-intensive applications --
Section II. Emerging big data applications --
Matrix factorization for drug-target interaction prediction --
Overview of neural network accelerators --
Acceleration for recommendation algorithms in data mining --
Deep learning accelerators --
Recent advances for neural networks accelerators and optimizations --
Accelerators for clustering applications in machine learning --
Accelerators for classification algorithms in machine learning --
Accelerators for big data genome sequencing.
โฆ Subjects
High performance computing.;Data mining.;Big data.;Artificial intelligence.
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