release complete, activitysim version 0.9.9.1 and populationsim version 0.5
chunking re-factoring going well
added a monitoring thread that runs in parallel and checks RSS memory usage every sec
currently running 100k HHs with MTC example on Jeff's laptop
next try full scale examples on our Windows servers and add support for multizone models
also has settings reload feature Alex suggested
OS memory report versus numpy/pandas are typically +/- 20% of one another
When numpy/pandas decides to finally make a copy of the data in memory within an operation or move some hunk of memory around in the heap are the unpredictable moments that make this exercise difficult
so dampening the sensor so we don't get too much yo-yo-ing
We'll want to update all the examples and documentation to drop chunking and switch to this assuming it works well
MTC talking to Clipper folks about any subsidy data that might be available
sandag testing
separate support work is complete
sandag is working on trying one zone and two zone setups as well
performance of one zone, two zone not much better?
would be good to start from psrc two zone example since its more complete
share the runtimes by submodel and then let's think about spots that we could make faster
semcog will try a 1 zone and 3 zone setup and can share their experience
can we do presampling for one zone system? its only for two and three zone system models because they have mazs
presampling does taz level sampling and then picks an maz for each taz sampled so its very similar to the one zone approach