Also, the more memory a data structure uses, the less CPU time associated algorithms will need to process the data items–leading to faster algorithm results. As much as possible, you should ...

Persistent memory, offering non-volatility with near-DRAM speeds, has enabled the development of PM-aware data structures that skilfully balance the demands of performance, reliability, and ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Understanding Linux memory management—page tables, swapping, and memory allocation—enables system administrators and developers to optimize performance and troubleshoot issues effectively. With tools ...