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neurosim / DNN_NeuroSim_V1.3

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
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Issue in Leakage Power. #34

Closed msabri1372 closed 2 years ago

msabri1372 commented 2 years ago

Hi, Thanks for providing your scripts for interested people.

I have a question about the Leakage Power reported by Neurosim. Because there are a lot of intermediate buffers to store the results of each layer, the Leakage Buffer does not seems convenient to me. I have looked at the Buffer.cpp script, and I think the energy consumption for each cell ( wlDecoder, precharger, sramWriteDriver, senseAmp) is missed and just buffer has been considered.

Best Regards,

Mohammad sabri

neurosim commented 2 years ago

Hi! Thanks for your interest in our work. But I don't get your question, because the leakage power and the dynamic energy of buffer submodules (e.g., wlDecoder, precharger, sramWriteDriver, senseAmp) are all included in our simulation at around line 190-200 in Buffer.cpp script. readWholeDynamicEnergy += wlDecoder.readDynamicEnergy + precharger.readDynamicEnergy + sramWriteDriver.readDynamicEnergy; writeWholeDynamicEnergy += wlDecoder.writeDynamicEnergy + precharger.writeDynamicEnergy + sramWriteDriver.writeDynamicEnergy; leakage += wlDecoder.leakage + precharger.leakage + sramWriteDriver.leakage + senseAmp.leakage;