Closed CGLemon closed 2 years ago
Do you have the standard deviation for you results ?
I tried to replicate the results with my laptop but the thermal effect makes measurements unreliable. I will try tomorrow with a desktop system.
std::mutex AvgDev : 67.8 my shared mutex AvgDev : 53.36 c++17 shared mutex AvgDev : 90.4 Data Size : 10
The original shared mutex has stall issue. I optimize the shared mutex. Now it is fast than before, even if the std::mutex version. I also add a option for c++17 shared mutex. If we want to use it, adding " -DUSE_CPP_17=1" on cmake.
In order to benchmark against different mutex versions, I create a simple test. The test is that all different versions start from the same board( has been moved ). Then, do one "go" to collect playouts speed. All version sample ten times.
This is my my simple test result std::mutex avg : 4212.2(playouts/second(s)) my shared mutex avg : 4330.3(playouts/second(s)) c++17 shared mutex avg : 4302.6(playouts/second(s)) Parameters: ./sai -w -p 100000 --noponder --lambda 0.3 --mu 0.03 -t 10 -b 5
OS: Ubuntu
CPU: i5-9400f
GPU: RTX2070s
CUDA:10.2
OpenCL:1.2
This test tries to make all NNCache lookup fail. So, this test don't represent the real game. Need more tests.