May 1, 2024
Updated June 27, 2025
10 minute read
An Introduction to Concurrent Programming
Concurrent programming is a paradigm that deals with executing multiple computations that overlap in time. It is the art of structuring a program as a collection of interacting, independent tasks that can be managed and executed by a computer system. This approach is fundamental to modern software development, enabling applications to be more efficient, responsive, and scalable by taking advantage of the underlying hardware, which today almost universally features multiple processor cores.
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Find a path to becoming a Concurrent Programming. Learn more at:
OpenCourser.com/topic/d4miqd/concurrent
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Concurrent Programming.
Provides a comprehensive overview of the fundamental principles and algorithms used in concurrent programming, covering topics such as synchronization, mutual exclusion, and deadlock avoidance. It is particularly useful for students and researchers who need a solid foundation in the subject.
Provides a comprehensive overview of the theory and practice of concurrency, covering topics such as synchronization, mutual exclusion, and distributed consensus. It valuable resource for researchers and practitioners who need a deep understanding of the subject.
Provides a comprehensive overview of the principles and practice of reliable and secure distributed programming, covering topics such as fault tolerance, consensus, and security. It valuable resource for researchers and practitioners who need to design and implement distributed systems that are reliable and secure.
Practical guide to writing concurrent programs in Java, covering topics such as thread synchronization, memory consistency, and common concurrency patterns. It valuable resource for Java developers who want to learn how to write robust and scalable concurrent applications.
Provides a comprehensive overview of the design principles and patterns for concurrent objects in Java, covering topics such as thread safety, synchronization, and performance. It valuable resource for Java developers who want to write robust and scalable concurrent applications.
Provides a comprehensive overview of parallel computing, covering topics such as parallel algorithms, parallel programming models, and performance analysis. It valuable resource for students and researchers who need a broad understanding of the subject.
Concise and accessible introduction to semaphores, a fundamental tool for synchronizing concurrent processes. It is suitable for readers with little or no prior knowledge of concurrency, and it provides a clear and practical explanation of how semaphores work.
Provides a collection of peer-reviewed papers on high-performance computing in science and engineering, covering topics such as parallel algorithms, parallel programming models, and performance analysis. It valuable resource for researchers and practitioners who need to keep up with the latest developments in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/d4miqd/concurrent
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