Learn IT - Books tags parallelism

Parallel Programming in OpenMP

Morgan Kaufmann, 2000

"This book will provide a valuable resource for the OpenMP community."

- Timothy G. Mattson, Intel Corporation

"This book has an important role to play in the HPC community-both for introducing practicing professionals to OpenMP and for educating students and professionals about parallel programming. I'm happy...

Numerical Integration: on Advanced Computer Systems (Lecture Notes in Computer Science)

Springer, 1994

This monograph is a comprehensive treatment of the theoretical and computational aspects of numerical integration.
The authors give a unique overview of the topic by bringing into line many recent research results not yet presented coherently; the extensive bibliography lists 268 items. Particular emphasis is given to the potential...

Distributed Computing with Go: Practical concurrency and parallelism for Go applications

Packt Publishing, 2018

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

This book provides enough concurrency theory to give you a contextual understanding of Go concurrency

It gives weight to synchronous and asynchronous data...

Handbook of Data Intensive Computing

Springer, 2011

This handbook is carefully edited book – contributors are worldwide experts in the field of data intensive computing and their applications. The scope of the book includes leading edge data intensive computing architectures and systems, innovative storage, virtualization, and parallel processing technologies applied in...

Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)

Springer, 1999

The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of...

Learning Java Functional Programming

Packt Publishing, 2015

Create robust and maintainable Java applications using the functional style of programming

About This Book

Explore how you can blend object-oriented and functional programming styles in Java

Use lambda expressions to write flexible and succinct code

A tutorial that...

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...

packetC Programming

Apress, 2011

This book covers a vast array of information related to packetC. It is a complete language reference and contains background information on many unique parts of packetC. As packetC shares much of its grammar with C, the book focuses on being an instructional language reference and not a general C programming introduction, since extensive...

Beowulf Cluster Computing with Linux, Second Edition (Scientific and Engineering Computation)

MIT Press, 2003

This how-to guide provides step-by-step instructions for building a Beowulf-type computer, including the physical elements that make up a clustered PC, the software required, and insights on how to organize the code to exploit parallelism.

Use of Beowulf clusters (collections of off-the-shelf commodity computers programmed to act in...

DB2 Universal Database for OS/390 Version 7.1 Certification Guide

Prentice Hall, 2001

IBM's DB2 Universal Database Version 7.1 for OS/390 delivers unparalleled performance, scalability, and reliability in today's enterprise e-business environments! Now, there's a complete, authoritative guide to deploying, managing, and developing applications with DB2 UDB V7.1 in both OS/390 and z/OS environments—and preparing for IBM's...

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

CRC Press, 2010

The future of high-performance computing (HPC) lies with large distributed parallel systems with three levels of parallelism, thousands of nodes containing MIMD* groups of SIMD* processors. For the past 50 years, the clock cycle of single processors has decreased steadily and the cost of each processor has decreased. Most applications would...

Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust

Packt Publishing, 2018

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety.

Key Features

Learn and improve the sequential performance characteristics of your software

Understand the use of operating system processes in a high-scale...

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