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examples/omnetpp/03-May-2024-155102

README.mdD03-May-20241 KiB2416

example_algorithms.pyD03-May-20245.4 KiB197136

flags.pyD03-May-20245.4 KiB198119

flags_test.pyD03-May-20245.2 KiB191113

flags_util.pyD03-May-20243.1 KiB9653

generation.pyD03-May-20244.7 KiB14092

generation_test.pyD03-May-20242.1 KiB7335

genetic_algorithm.pyD03-May-20249.3 KiB296180

hill_climb_best_neighbor.pyD03-May-20243.3 KiB10869

iterative_elimination.pyD03-May-20246.2 KiB178107

mock_task.pyD03-May-20242.6 KiB9363

pipeline_process.pyD03-May-20244.4 KiB12486

pipeline_process_test.pyD03-May-20242.4 KiB9055

pipeline_worker.pyD03-May-20246 KiB14397

pipeline_worker_test.pyD03-May-20244 KiB12974

steering.pyD03-May-20244.8 KiB11756

steering_test.pyD03-May-20245.4 KiB17199

task.pyD03-May-202414.5 KiB451272

task_test.pyD03-May-20245.5 KiB175101

testing_batch.pyD03-May-202414.2 KiB451270

README.md

1# bestflags
2
3There is a vast set of compiler flags that can be used to build Chrome for
4ChromeOS. This option space has not been explored before. This directory
5provides an infrastructure to build Chrome with certain flag combinations, test
6it, gather results and prepare a fresh batch of flags to repeat the process. The
7infrastructure supports plug-in modules that implement algorithms for searching
8in the N-Dimensional space of compiler flag combinations.
9
10Currently, three different algorithms are built, namely genetic algorithm, hill
11climbing and negative flag iterative elimination. The module `testing_batch.py`
12contains the testing of these algorithms.
13
14To run the script, type in `python testing_batch.py`.
15
16For further information about the project, please refer to the design document
17at:
18
19https://docs.google.com/a/google.com/document/d/19iE9rhszTWjISBpKJ3qK8uBCoUjs0o4etWDRkyEeUOw/
20
21There is also a presentation slide available at:
22
23https://docs.google.com/a/google.com/presentation/d/13rS9jALXffbP48YsF0-bsqovrVBfgzEud4e-XpavOdA/edit#slide=id.gf880fcd4_180
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