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Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)
Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)

New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...

Intel Xeon Phi Coprocessor High Performance Programming
Intel Xeon Phi Coprocessor High Performance Programming

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical...

Patterns for Parallel Programming (Software Patterns Series)
Patterns for Parallel Programming (Software Patterns Series)

The Parallel Programming Guide for Every Software Developer

From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the...

Multiscale Modeling in Biomechanics and Mechanobiology
Multiscale Modeling in Biomechanics and Mechanobiology

Presenting a state-of-the-art overview of theoretical and computational models that link characteristic biomechanical phenomena, this book provides guidelines and examples for creating multiscale models in representative systems and organisms. It develops the reader's understanding of and intuition for multiscale phenomena in biomechanics...

Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Partial Differential Equations and the Finite Element Method
Partial Differential Equations and the Finite Element Method
A systematic introduction to partial differential equations and modern finite element methods for their efficient numerical solution

Partial Differential Equations and the Finite Element Method provides a much-needed, clear, and systematic introduction to modern theory of partial differential equations (PDEs) and...

Information Processing by Biochemical Systems: Neural Network-Type Configurations
Information Processing by Biochemical Systems: Neural Network-Type Configurations

A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions

Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural network–type assemblies. It explains the relationship between these two apparently unrelated fields,...

RNA and DNA Editing: Methods and Protocols (Methods in Molecular Biology)
RNA and DNA Editing: Methods and Protocols (Methods in Molecular Biology)

The recent expansion in diversity of RNA and DNA editing types has stimulated the development of many unique genetic, molecular, biochemical, and computational approaches to biological issues.  In RNA and DNA Editing: Methods and Protocols, leading experts in the field introduce methods developed over the last few years to study...

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...
Artificial Mind System: Kernel Memory Approach (Studies in Computational Intelligence)
Artificial Mind System: Kernel Memory Approach (Studies in Computational Intelligence)

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as...

An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)
An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)
The relatively recent increase in computational power available for mathematical modeling and simulation raises the possibility that modern numerical methods can play a significant role in the analysis of complex particulate flows. This introductory monograph focuses on basic models and physically based computational solution strategies for the...
A First Course in Stochastic Models
A First Course in Stochastic Models
The teaching of appliedprobability needs a fresh approach. The fieldof applied probability has changedprofound ly in the past twenty years andyet the textbooks in use today do not fully reflect the changes. The development of computational methods has greatly contributed to a better understanding of the theory. It is my conviction that theory is...
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