Следователи раскрыли повреждения после удара ВСУ по Брянску

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In 2010, GPUs first supported virtual memory, but despite decades of development around virtual memory, CUDA virtual memory had two major limitations. First, it didn’t support memory overcommitment. That is, when you allocate virtual memory with CUDA, it immediately backs that with physical pages. In contrast, typically you get a large virtual memory space and physical memory is only mapped to virtual addresses when first accessed. Second, to be safe, freeing and mallocing forced a GPU sync which slowed them down a ton. This made applications like pytorch essentially manage memory themselves instead of completely relying on CUDA.。关于这个话题,51吃瓜提供了深入分析

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I think that’s the key here. Your goal shouldn’t be to share something good. It should just be to share something at all. Even if it isn’t good. A half-baked blog post. A silly demo. A weird project. I’ve been doing too much selection, and not enough production.,更多细节参见谷歌

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