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High Performance Computing (RISC Architectures, Optimization & Benchmarks)
High Performance Computing (RISC Architectures, Optimization & Benchmarks)

The computing power that's available on the average desktop has exploded in the past few years. A typical PC has performance exceeding that of a multi-million dollar supercomputer a mere decade ago. To some people, that might mean that it's time to sit back and watch computers get faster: performance is no longer an issue,...

Algorithms and Data Structures for External Memory (Foundations and Trends(r) in Theoretical Computer Science)
Algorithms and Data Structures for External Memory (Foundations and Trends(r) in Theoretical Computer Science)
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. Algorithms and Data Structures for External Memory surveys the state of...
Python Data Analysis Cookbook
Python Data Analysis Cookbook

Key Features

  • Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
  • Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
  • Authored by Ivan Idris, expert in python programming and proud...
OpenCL Programming by Example
OpenCL Programming by Example

For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.

Overview

  • Learn about all of the OpenCL Architecture and major APIs.
  • ...
Programming Windows Store Apps with C#
Programming Windows Store Apps with C#

If you’re a .NET developer looking to build tablet apps, this practical book takes you step-by-step through the process of developing apps for the Windows Store. You’ll learn how to use Microsoft’s Modern UI design language with Windows 8.1 and WinRT 8.1.1 by building a line-of-business mobile app with C# through...

Hands-On Reactive Programming with Python: Event-driven development unraveled with RxPY
Hands-On Reactive Programming with Python: Event-driven development unraveled with RxPY

A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits

Key Features

  • Explore the advantages of Reactive programming
  • Use concurrency and parallelism in RxPY to build powerful reactive applications
  • ...
Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming
Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs...

Advanced DBA Certification Guide and Reference for DB2 UDB v8 for Linux, Unix and Windows
Advanced DBA Certification Guide and Reference for DB2 UDB v8 for Linux, Unix and Windows
Whether you're a long-time DB2 UDB professional or an experienced DBA who's migrated from another database platform, there's one sure way to demonstrate the highest level of skills in DB2 Universal Database administration: pass the challenging IBM DB2 Universal Database Advanced Database Administration Exam 704.

Now, there's a definitive guide...

Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. 

...
Mastering Julia
Mastering Julia

Key Features

  • Build statistical models with linear regression and analysis of variance (ANOVA)
  • Create your own modules and contribute to the Julia package system
  • Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization

...

Database Systems
Database Systems
The main aim of this work is to provide one readable text of essential core material for further education, higher education and commercial courses on database systems. The current volume is designed to form a consolidated, introductory text on modern database technology and the development of database systems.

It is undoubtedly true
...
Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)
Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

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