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parse out the compute:start and compute:stop records
separate individual threads by ID
create CSV files showing threadid,startdelta,runlength where runlength is the difference between the stop and start times for the given threadid, and startdelta is the difference between the start time of the given threadid and the start time of the previous threadid (defined to be 0 for the first record)
emit graphs using matplotlib showing periodicity of iterations as well as run times.
Create a top level python script that will descend into each folder and run the given benchmark. The python script should
So the repo should look something like:
./runthemall.py
./erlang/benchmark.erl
./haskell/benchmark.hs
etc
and should, post run, leave the raw data and graphs in each folder
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