May 1, 2024
3 minute read
Data races are a common problem in concurrent programming. They occur when two or more threads access the same shared memory location at the same time, and at least one of the threads is writing to the location. This can lead to unexpected and incorrect results, as the value of the shared memory location can be changed by one thread before another thread has finished reading it.
What Causes Data Races?
Data races can be caused by a number of factors, including:
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Reading list
We've selected 11 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
Data Races.
Provides a comprehensive overview of Java concurrency, including data races and how to avoid them. It is written by a team of experts in the field.
Provides a comprehensive overview of effective Java programming, including data races and how to avoid them.
Provides a comprehensive overview of advanced topics in Java concurrency, including data races and how to avoid them.
Provides a comprehensive overview of concurrent algorithms, including data races and various techniques to avoid them.
Provides a comprehensive overview of concurrency in Go, including data races and how to avoid them.
Provides a comprehensive overview of concurrency in programming languages, including data races and how to avoid them.
Provides a comprehensive overview of patterns for parallel programming, including data races and how to avoid them.
Provides a collection of recipes for solving common concurrency problems in C#, including data races.
Provides a comprehensive overview of the Rust programming language, which is known for its focus on memory safety and concurrency, including data races.
Provides a comprehensive overview of operating system concepts, including concurrency and data races.
Provides a comprehensive overview of modern operating systems, including concurrency and data races.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/fico62/data
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