Shared Memory
Shared memory is a memory area that can be accessed by multiple processes or threads simultaneously. In data science and artificial intelligence, shared memory is often used to improve the performance of parallel computing. By sharing memory, processes or threads can communicate and synchronize with each other more efficiently, without the need for expensive inter-process communication mechanisms. Shared memory can be implemented in various ways, such as using operating system primitives like semaphores and mutexes, or using specialized libraries like OpenMP and MPI. However, shared memory also introduces new challenges, such as race conditions and deadlocks, which need to be carefully managed to ensure correct and reliable operation.
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