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Informationen zum Autor After obtaining a PhD in theoretical physics in Argentina – where he was born – he spent several years as visiting scientist, working in theoretical particle physics in different research laboratories in the USA and Europe, in particular at the CERN theory division. In 1978, he was appointed full professor at the University of Paris XI in Orsay, France. His basic interests shifted to computational sciences in the early 90’s, and he was at this time the founding director of IDRIS supercomputing center in Orsay, which he directed until 2009. In 2004-2009, he coordinated the DEISA European supercomputing infrastructure, a consortium of national supercomputing centers that pioneered the deployment of high performance computing services au the continental scale. He is currently emeritus research director at “Maison de la Simulation?, a CEA-CNRS-INRIA-University research laboratory providing high level support to HPC. He was decorated in 2011 “Chevalier de l’Ordre National du Mérite? by the French Republic. Klappentext Shared Memory Application Programming: Concepts and Strategies in Multicore Application Programming presents the key concepts and applications of parallel programming in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is a core technology at the basis of any software development project in any branch of applied computer science. This book presents tactics readers can use to develop insights on threaded programming and introduces two popular platforms for multicore development, OpenMP and Intel Threading Building Blocks (TBB). . Author Victor Alessandrini leverages his rich experience to explain each platform's design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability. The book is divided into two parts, with the first developing the essential concepts on multithreading, thread safety, and management and synchronization, and the second providing an in-depth discussion of TBB and OpenMP, including the latest features in OpenMP 4.0 to ensure readers' skills are fully up-to-date. Each chapter includes examples drawn from a variety of disciplines, including molecular dynamics and image processing, with full source code and software libraries that readers can adapt into their own projects. Inhaltsverzeichnis Introduction Threads Creating and running threads Thread safe programming Concurrent access to shared data Event synchronization Cache coherency and memory consistency High level synchronization tools OpenMP Intel Threading Building Blocks Further thread pools A molecular dynamics example Further data parallel examples Pipelining Threads Using the TBB task scheduler ...
List of contents
- Introduction
- Threads
- Creating and running threads
- Thread safe programming
- Concurrent access to shared data
- Event synchronization
- Cache coherency and memory consistency
- High level synchronization tools
- OpenMP
- Intel Threading Building Blocks
- Further thread pools
- A molecular dynamics example
- Further data parallel examples
- Pipelining Threads
- Using the TBB task scheduler
