Description
Fundamentals of Multicore Software Development
Chapman & Hall/CRC Computational Science Series
Coordinators: Pankratius Victor, Adl-Tabatabai Ali-Reza, Tichy Walter
Language: English
Subjects for Fundamentals of Multicore Software Development:
Keywords
Parallel Programming; Execution Time; Multicore Software Development; Transactional Memory; parallel computing; Address Space; Software Developers; Main Memory; parallel software; Amdahl’s Law; multicore processors; Data Parallelism; multicore programming; Thread Blocks; software engineering; CUDA Program; computer science; Atomic Blocks; manycore computing; Runtime System; heterogeneous multicore platforms; Thread Pool; automatic parallelization; Cache Lines; automatic performance tuning; Net Framework; DMA Transfer; Cell processor; Control Flow Graph; CUDA; Tunable Architectures; OpenMP; DDG; parallelism in C++; Strong Semantics; parallelism in .NET; Power Consumption; parallelism in Java; Omp Parallel; Vector Float; Parallel Region; Single Thread Performance
Publication date: 07-2017
· 15.6x23.4 cm · Paperback
Publication date: 01-2012
318 p. · 15.6x23.4 cm · Hardback
Description
/li>Contents
/li>Readership
/li>Biography
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With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge.
Accessible to newcomers to the field, the book captures the state of the art of multicore programming in computer science. It covers the fundamentals of multicore hardware, parallel design patterns, and parallel programming in C++, .NET, and Java. It also discusses manycore computing on graphics cards and heterogeneous multicore platforms, automatic parallelization, automatic performance tuning, transactional memory, and emerging applications.
As computing power increasingly comes from parallelism, software developers must embrace parallel programming. Written by leaders in the field, this book provides an overview of the existing and up-and-coming programming choices for multicores. It addresses issues in systems architecture, operating systems, languages, and compilers.
Basics of Parallel Programming. Programming Languages for Multicore. Programming Heterogeneous Processors. Emerging Technologies.
Victor Pankratius heads the Multicore Software Engineering group at the Karlsruhe Institute of Technology. He is also the elected chairman of the Software Engineering for Parallel Systems (SEPARS) international working group. With a focus on making parallel programming easier, his research encompasses auto-tuning, language design, debugging, and empirical studies.
Ali-Reza Adl-Tabatabai is a senior principal engineer at Intel Corporation, where he leads a team working on compilers and scalable runtimes. His research concentrates on language features that make it easier to build reliable and scalable parallel programs for future multicore architectures.
Walter Tichy is a professor of computer science and head of the Programming Systems group at the Karlsruhe Institute of Technology. He is also a member of the board of directors of software engineering at Forschungszentrum Informatik (FZI), an independent research institution. His research covers tools and methods to simplify the engineering of general-purpose parallel software, including race detection, auto-tuning, and high-level languages for expressing parallelism.
