Memory management

Related lectures (31)

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Explains pointers and arrays in C, focusing on memory management and dynamic allocation.

Explores advanced Spark topics like partitioning strategies, memory optimization, and shuffle operations for efficient job execution.

Covers the concept of pointers in C++, dynamic memory allocation, and best practices.

Covers fragmentation and segmentation, focusing on memory management techniques and their implications for system performance.

Introduces paging in operating systems, explaining memory management units, address space abstraction, page tables, and TLB.

Explores memory reclamation techniques, including Lock-free Reference Counting and Hazard Pointers, and introduces the hybrid approach of QSense.

Introduces Eigen and Pybind libraries for linear algebra operations and C++ function binding to Python.

Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.

Delves into the reasons behind program crashes related to memory management.

Covers memory virtualization, focusing on address space abstraction and the management of memory resources by the operating system.