Learn IT - Books tags parallelism

Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience

Apress, 2018

Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...

Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications

Packt Publishing, 2018

Discover the world of Rust programming through real-world examples

Key Features

Implement various features of Rust to build blazingly fast applications

Learn to build GUI applications using Gtk-rs

Explore the multi-threading aspect of Rust to tackle...

Python Data Analysis Cookbook

Packt Publishing, 2016

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...

Rust Standard Library Cookbook: Over 75 recipes to leverage the power of Rust

Packt Publishing, 2018

Explore the Rust Standard library and compose algorithms with minimal dependency on external libraries

Key Features

Develop high-quality, fast, and portable applications by leveraging the power of Rust's Standard library.

Practical recipes that will help you work with...

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

Packt Publishing, 2018

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

Addison Wesley, 2011

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,...

Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift

Pragmatic Bookshelf, 2017

Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you'll explore functional...

The Art of Concurrency: A Thread Monkey's Guide to Writing Parallel Applications

O'Reilly, 2009

If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or...

Quantum Computing for Computer Architects (Synthesis Lectures on Computer Architecture)

Morgan Kaufmann, 2006

Quantum computationmay seem to be a topic for science fiction, but small quantum computers have existed for several years and larger machines are on the drawing table. These efforts have been fueled by a tantalizing property: while conventional computers employ a binary representation that allows computational power to scale linearly with resources...

Multicore Application Programming: for Windows, Linux, and Oracle Solaris

Addison Wesley, 2010

Write High-Performance, Highly Scalable Multicore Applications for Leading Platforms
Multicore Application Programming is a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use.

Author Darryl Gove covers the leading...

Parallel Metaheuristics: A New Class of Algorithms

John Wiley & Sons, 2005

Solving complex optimization problems with parallelmetaheuristics

Parallel Metaheuristics brings together an international group ofexperts in parallelism and metaheuristics to provide a much-neededsynthesis of these two fields. Readers discover how metaheuristictechniques can provide useful and practical solutions for a...

Foundations of Computing

Thomson Delmar Learning, 1997

It may sound surprising that in computing, a field which develops so fast that the future often becomes the past without having been the present, there is nothing more stable and worthwhile learning than its foundations.

It may sound less surprising that in a field with such a revolutionary methodological impact on all sciences and...

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