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Mastering the SAS DS2 Procedure: Advanced Data-Wrangling Techniques, Second Edi
Mastering the SAS DS2 Procedure: Advanced Data-Wrangling Techniques, Second Edi

Enhance your SAS® data-wrangling skills with high-precision and parallel data manipulation using the DS2 programming language.

Now in its second edition, this book addresses the DS2 programming language from SAS, which combines the precise procedural power and control of the Base SAS® DATA step...

Test and Analysis of Web Services
Test and Analysis of Web Services
The service-oriented approach has become more and more popular, now allowing highly integrated and yet heterogeneous applications. Web services are the natural evolution of conventional middleware technologies to support Web-based and enterprise-level integration.

The highly dynamic characteristics of service-oriented applications means...

Professional Multicore Programming: Design and Implementation for C++ Developers
Professional Multicore Programming: Design and Implementation for C++ Developers
Professional Multicore Programming: Design and Implementation for C++ Developers

In order to increase overall system performance, computer manufacturers have opted to add more processors rather than increase clock frequency. In turn, if you want an application to benefit from the next new processor, that application will...

Beowulf Cluster Computing with Linux (Scientific and Engineering Computation)
Beowulf Cluster Computing with Linux (Scientific and Engineering Computation)
Beowulf clusters, which exploit mass-market PC hardware and software in conjunction with cost-effective commercial network technology, are becoming the platform for many scientific, engineering, and commercial applications. With growing popularity has come growing complexity. Addressing that complexity, Beowulf Cluster Computing with Linux and...
Algorithms and Data Structures: The Basic Toolbox
Algorithms and Data Structures: The Basic Toolbox
Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic...
Limits to Parallel Computation: P-Completeness Theory
Limits to Parallel Computation: P-Completeness Theory
"This is an excellent book about the classification of computing problems....I am sure that it can be useful as a textbook for students or as basic material for researchers wanting to start some research in this area." --Mathematical Reviews

This book provides a comprehensive analysis of the most important topics in
...
Parallel Scientific Computing and Optimization: Advances and Applications (Springer Optimization and Its Applications)
Parallel Scientific Computing and Optimization: Advances and Applications (Springer Optimization and Its Applications)
This work introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix...
Computer Algebra: Symbolic and Algebraic Computation (Computing Supplementa)
Computer Algebra: Symbolic and Algebraic Computation (Computing Supplementa)

The journal Computing has established a series of supplement volumes the fourth of which appears this year. Its purpose is to provide a coherent presentation of a new topic in a single volume. The previous subjects were Computer Arithmetic 1977, Fundamentals of Numerical Computation 1980, and Parallel Processes and Related Automata...

Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
OpenCL Programming Guide
OpenCL Programming Guide

Industry pundits love drama. New products don’t build on the status quo to make things better. They “revolutionize” or, better yet, define a “new paradigm.” And, of course, given the way technology evolves, the results rarely are as dramatic as the pundits make it seem.

Over the past decade,...

Graph Algorithms in the Language of Linear Algebra (Software, Environments, and Tools)
Graph Algorithms in the Language of Linear Algebra (Software, Environments, and Tools)

Graphs are among the most important abstract data types in computer science, and the algorithms that operate on them are critical to modern life. Graphs have been shown to be powerful tools for modeling complex problems because of their simplicity and generality. Graph algorithms are one of the pillars of mathematics, informing research in...

The Book of F#: Breaking Free with Managed Functional Programming
The Book of F#: Breaking Free with Managed Functional Programming

F# brings the power of functional-first programming to the .NET Framework, a platform for developing software in the Microsoft Windows ecosystem. If you're a traditional .NET developer used to C# and Visual Basic, discovering F# will be a revelation that will change how you code, and how you think about coding.

In...

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