Manually fuse reindexing intermediates with blockwise reduction for cohorts. #300
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…ohorts. ``` | Change | Before [627bf2b] <main> | After [9d710529] <optimize-cohorts-graph> | Ratio | Benchmark (Parameter) | |----------|----------------------------|---------------------------------------------|---------|-------------------------------------------------| | - | 3.39±0.02ms | 2.98±0.01ms | 0.88 | cohorts.PerfectMonthly.time_graph_construct | | - | 20 | 17 | 0.85 | cohorts.PerfectMonthly.track_num_layers | | - | 23.0±0.07ms | 19.0±0.1ms | 0.83 | cohorts.ERA5Google.time_graph_construct | | - | 4878 | 3978 | 0.82 | cohorts.ERA5Google.track_num_tasks | | - | 179±0.8ms | 147±0.5ms | 0.82 | cohorts.OISST.time_graph_construct | | - | 159 | 128 | 0.81 | cohorts.ERA5Google.track_num_layers | | - | 936 | 762 | 0.81 | cohorts.PerfectMonthly.track_num_tasks | | - | 1221 | 978 | 0.8 | cohorts.OISST.track_num_layers | | - | 4929 | 3834 | 0.78 | cohorts.ERA5DayOfYear.track_num_tasks | | - | 351 | 274 | 0.78 | cohorts.NWMMidwest.track_num_layers | | - | 4562 | 3468 | 0.76 | cohorts.ERA5DayOfYear.track_num_tasks_optimized | | - | 164±1ms | 118±0.4ms | 0.72 | cohorts.ERA5DayOfYear.time_graph_construct | | - | 1100 | 735 | 0.67 | cohorts.ERA5DayOfYear.track_num_layers | | - | 3930 | 2605 | 0.66 | cohorts.NWMMidwest.track_num_tasks | | - | 3715 | 2409 | 0.65 | cohorts.NWMMidwest.track_num_tasks_optimized | | - | 28952 | 18798 | 0.65 | cohorts.OISST.track_num_tasks | | - | 27010 | 16858 | 0.62 | cohorts.OISST.track_num_tasks_optimized | ```
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* main: (64 commits) import `normalize_axis_index` from `numpy.lib` on `numpy>=2` (#364) Optimize `min_count` when `expected_groups` is not provided. (#236) Use threadpool for finding labels in chunk (#327) Manually fuse reindexing intermediates with blockwise reduction for cohorts. (#300) Bump codecov/codecov-action from 4.1.1 to 4.3.1 (#362) Add cubed notebook for hourly climatology example using "map-reduce" method (#356) Optimize bitmask finding for chunk size 1 and single chunk cases (#360) Edits to climatology doc (#361) Fix benchmarks (#358) Trim CI (#355) [pre-commit.ci] pre-commit autoupdate (#350) Initial minimal working Cubed example for "map-reduce" (#352) Bump codecov/codecov-action from 4.1.0 to 4.1.1 (#349) `method` heuristics: Avoid dot product as much as possible (#347) Fix nanlen with strings (#344) Fix direct quantile reduction (#343) Fix upstream-dev CI, silence warnings (#341) Bump codecov/codecov-action from 4.0.0 to 4.1.0 (#338) Fix direct reductions of Xarray objects (#339) Test with py3.12 (#336) ...
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* main: Bump codecov/codecov-action from 4.3.1 to 4.4.1 (#366) Cubed blockwise (#357) Remove errant print statement import `normalize_axis_index` from `numpy.lib` on `numpy>=2` (#364) Optimize `min_count` when `expected_groups` is not provided. (#236) Use threadpool for finding labels in chunk (#327) Manually fuse reindexing intermediates with blockwise reduction for cohorts. (#300) Bump codecov/codecov-action from 4.1.1 to 4.3.1 (#362) Add cubed notebook for hourly climatology example using "map-reduce" method (#356) Optimize bitmask finding for chunk size 1 and single chunk cases (#360) Edits to climatology doc (#361) Fix benchmarks (#358)
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Since cubed is implementing its own code path, I think its OK to optimize to this degree.