Summary

This chapter covered memory management in concurrent, multi-threaded, and asynchronous programming paradigms. Each section provided practical insights and a comprehensive understanding tailored to modern software development’s specific demands and complexities in .NET.

We reviewed how .NET handles memory in environments where multiple threads operate in parallel and how the GC seeks to manage memory efficiently and concurrently, focusing on minimizing pause times and maximizing throughput. We discussed concurrent programming challenges such as race conditions, deadlocks, and starvation, as well as solutions such as locking mechanisms, using immutable objects, and employing concurrent collections provided by .NET to mitigate synchronization overhead and improve memory management.

We also examined how multi-threading enables applications to perform multiple operations simultaneously, enhancing performance but introducing complexities in memory management. We then...