Comments (2)
denisalevi
commented on May 29, 2024
What do we mean by detailed profiling? We need to decide what kind of profiling we want. Currently our benchmarks use our custom time measurements, which need to use cudaDeviceSynchronize() between kernel calls to produce meaningful time measurements. But since a normal run without synchronization might benefit from some concurrent kernel execution, these measurements increase the total run time.
Alternatively we could use the nvprof profiler, which also gives us performance metrics. But we would need to implement new benchmark scripts for that. which shouldn't take too long though.
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moritzaugustin
commented on May 29, 2024
only use CPU-side blocking mode for time measurements from now on
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Related Issues (20)
- Check if storing the size of synapse groups is necessary? HOT 1
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