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Project Meeting 2019.05.31
Ben Stabler edited this page May 31, 2019
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- See the verification table for the current summaries
- Updates summaries for shadow pricing since we also ran a 100% multiprocessing example
- Issues we fixed since our last call, which are in pull request PR#261
- Updates to non man tour freq expressions
- Updates to atwork tour freq expressions
- Updates to tour stop freq expressions
- Updates to tour and trip mode expressions
- The verification results of these submodels are better as a result
- Added 100% sample multiprocessing example run setup to the user documentation
- Published (released) an updated version - https://pypi.org/project/activitysim
- Refreshed the multiprocessing runs for the two presentations
- Full scale model runs
- 28 core Windows server 165 minutes
- 64 core Windows cloud server 170 minutes
- 128 core Windows cloud server 135 minutes
- 64 core Linux cloud server 71 minutes
- 128 core Linux cloud server 51 minutes
- OSX and Linux running faster than Windows
- Python 2 running faster than Python 3
- Experimented a bit with Intel MKL library settings on Windows
- Still working on understanding these runtime differences
- Updated the Azure run setup scripts
- Bhargava running sensitivity tests
- Brice setup Tableau dashboard
- @Discuss remaining preparation for the workshop