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The Art of Multiprocessor Programming

Über The Art of Multiprocessor Programming

The Art of Multiprocessor Programming, Second Edition, provides users with an authoritative guide to multicore programming. This updated edition introduces higher level software development skills relative to those needed for efficient single-core programming, and includes comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. The book is an ideal resource for students and professionals alike who will benefit from its thorough coverage of key multiprocessor programming issues. Features new exercises developed for instructors using the text, with more algorithms, new examples, and other updates throughout the book Presents the fundamentals of programming multiple threads for accessing shared memory Explores mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques, from simple locks to transactional memory systems

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  • Sprache:
  • Englisch
  • ISBN:
  • 9780124159501
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 576
  • Veröffentlicht:
  • 30. Dezember 2020
  • Ausgabe:
  • 2
  • Abmessungen:
  • 234x191x30 mm.
  • Gewicht:
  • 1154 g.
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Beschreibung von The Art of Multiprocessor Programming

The Art of Multiprocessor Programming, Second Edition, provides users with an authoritative guide to multicore programming. This updated edition introduces higher level software development skills relative to those needed for efficient single-core programming, and includes comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. The book is an ideal resource for students and professionals alike who will benefit from its thorough coverage of key multiprocessor programming issues.

Features new exercises developed for instructors using the text, with more algorithms, new examples, and other updates throughout the book Presents the fundamentals of programming multiple threads for accessing shared memory Explores mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques, from simple locks to transactional memory systems

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