Deep Learning Systems
Memory management refers to the process of coordinating and handling computer memory resources, ensuring that applications use memory efficiently while preventing memory leaks and fragmentation. In the context of GPU architecture and CUDA programming, effective memory management is crucial for optimizing performance in deep learning applications, where large datasets and complex models demand careful allocation and deallocation of memory resources.
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