E-Book, Englisch, 330 Seiten
Pankratius / Adl-Tabatabai / Tichy Fundamentals of Multicore Software Development
Erscheinungsjahr 2012
ISBN: 978-1-4398-1274-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 330 Seiten
Reihe: Chapman & Hall/CRC Computational Science
ISBN: 978-1-4398-1274-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Zielgruppe
Researchers in parallel and distributed computing, software engineering, and computer engineering.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction, Victor Pankratius, Ali-Reza Adl-Tabatabai, and Walter Tichy
Basics of Parallel Programming
Fundamentals of Multicore Hardware and Parallel Programming, Barry Wilkinson
Parallel Design Patterns, Tim Mattson
Programming Languages for Multicore
Threads and Shared Variables in C++, Hans Boehm
Parallelism in.NET and Java, Judith Bishop
OpenMP, Barbara Chapman and James LaGrone
Programming Heterogeneous Processors
Scalable Manycore Computing with CUDA, Michael Garland, Vinod Grover, and Kevin Skadron
Programming the Cell Processor, Christoph Kessler
Emerging Technologies
Automatic Extraction of Parallelism from Sequential Code, David I. August, Jialu Huang, Thomas B. Jablin, Hanjun Kim, Thomas R. Mason, Prakash Prabhu, Arun Raman, and Yun Zhang
Auto-Tuning Parallel Application Performance, Christoph Schaefer, Victor Pankratius, and Walter Tichy
Transactional Memory, Tim Harris
Emerging Applications, Pradeep Dubey