Closed hassenebyy closed 11 months ago
I take advantage of this issue to add that the return in seconds seems strange to me.
Indeed, I get results such as [9643.0]
, [12817.0]
for a code that runs in 0.4 seconds
Here is the code
import pyRAPL
pyRAPL.setup()
baz = pyRAPL.Measurement("baz")
baz.begin()
list(range(10000))
baz.end()
print(baz.result.dram)
# [12024.0]
In the class DramAPI, the file read is energy_uj same name as the one in PkgAPI, guessing that it means energy in micro joule.
I would also say, that there is an error in the documentation. The average power that 8gb of RAM require is approx 3W (as a rule of thumb). I ran pyRAPL on just my system for 10 minutes and recorded the energy usage per second into a file.
The results show, that my RAM (of which 0.96GB were allocated at that time) would consume 2063.622961J which corresponds to a power demand of approx 3.439371W. This would somewhat approve the assumption of the output being displayed in micro Joules for the RAM as well.
Hi everyone,
I've noticed that the DRAM output is expressed in seconds. "dram (Optional[List[float]]) – list of the RAM energy consumption -expressed in seconds- (one value for each socket) if None, no RAM energy consumption was recorded."
Can you explain why the energy consumption is not expressed in micro-Joules ? Otherwise, how can I obtain the equivalence in Joules ?
Thank you, Best regards.