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When parsing the data I noticed that ECC being yes/no was inconsistent. It seemed random at times. But I think this could be an important finding for our study, because (I am reading) that NVIDIA GPUs have ECC (error correcting code) memory that allows the system to detect when memory errors occur. It sounds great, but activating it slows down VRAM. Specifically:
Turning ECC on:
It reduces the amount of available memory by 12.5%.
It makes context synchronization more expensive.
Uncoalesced memory transactions are more expensive when ECC is enabled than otherwise.
That is from https://www.cudahandbook.com/. It makes me wonder the implications for having some on, some off. I think we will need to look at the data more closely to see how consistent the setting is within experiment environment and sizes.
The text was updated successfully, but these errors were encountered:
When parsing the data I noticed that ECC being yes/no was inconsistent. It seemed random at times. But I think this could be an important finding for our study, because (I am reading) that NVIDIA GPUs have ECC (error correcting code) memory that allows the system to detect when memory errors occur. It sounds great, but activating it slows down VRAM. Specifically:
Turning ECC on:
That is from https://www.cudahandbook.com/. It makes me wonder the implications for having some on, some off. I think we will need to look at the data more closely to see how consistent the setting is within experiment environment and sizes.
The text was updated successfully, but these errors were encountered: