Comments (1)
For cuda slices
This is likely a non-issue because we are only using a single stream. Since each launch is guaranteed to happen in order, as long as the calling function had exclusive access, then so will the kernel (since only 1 happens at a time).
Additionally, only kernel functions can mutate these values, so it's impossible to mutate values on host & device at the same time.
Finally, even dropping values occurs on the stream, so you won't be able to use a cuda slice after it is freed.
For primitives
It is possible to mutate these on host device. Recommend to pass primitives by value instead of by reference into launch_async
from cudarc.
Related Issues (20)
- Recommendation for Readme HOT 1
- Issue on passing of host to device parameters HOT 2
- Zero length allocation failure HOT 5
- Passing `u8` and `i64` to templated kernel HOT 1
- Dynamic loading instead of linking HOT 7
- Change the modules map to use &'static str instead of String. HOT 1
- Bindgen for cuda_runtime_api.h HOT 1
- Best way to support different CUDA version? HOT 2
- Add `cudaFuncSetAttribute` HOT 2
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- Wrong library filename used for CUDA driver on Windows HOT 3
- Support for cooperative groups API
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from cudarc.