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 distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code, along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations.
Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you:
- Understand parallelism and concurrency
- Explore differences between programming for shared-memory and distributed-memory
- Learn guidelines for designing multithreaded applications, including testing and tuning
- Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks
- Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations
The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you:
- Understand parallelism and concurrency
- Explore differences between programming for shared-memory and distributed-memory
- Learn guidelines for designing multithreaded applications, including testing and tuning
- Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks
- Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations
The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
"Fazit: Das er ein "Freund der Sortierung" ist, lässt sich bereits an der Seitenzahl der Kapitel ablesen. Aber das tut dem runden Eindruck, den das Buch hinterlässt, keinen Abbruch. Die zuvor annvisierte Leserschaft wird mit dem Buch von Clay Breshears bestens zurechtkommen und interessierten Neulingen bietet er eine kompetente Einführung in die Thematik. Dieses Buch hat mich zu einigen neuen Ideen inspiriert - weshalb ich es nicht zuletzt deshalb empfehlen kann." -- StuSieLug, November 2009