| Line 2 was replaced by line 2 |
| - Jones, Zhang, Pereira, Higgins, Tao, Schildhauer, Spears |
| + Jones, Zhang, Pereira, Higgins, Tao, Schildhauer, Spears, Berkley |
| At line 5 added 24 lines. |
| + ** Discussion of how to handle distributed execution |
| + *** Dan has "bulletin-board" model in mind right now |
| + *** Matt would like a more 'cluster' oriented approach with a controller |
| + ** Ricardo suggests that we should reduce granularity of inputs to make it computationally tractable and then address the parallelization more comprehensively in a second iteration |
| + ** Ricardo: cluster at Kansas should be examined to discover issues relevant to the parallelization effort for Kepler |
| + * Rod gave overview or DiGIR/DarwinCore data sources in Kepler |
| + ** Exposes data as fields, rows, tables |
| + * Jianting's progress on the GIS actors |
| + ** Convex hull, rasterization, buffering |
| + |
| + !! Decisions |
| + * Delay parallelization effort until we can do it right |
| + * Implement a simpler GARP workflow that can run in one day on one machine |
| + ** Preprocessing to a reasonable grid density |
| + ** Choose fewer species (e.g., 10-50) |
| + ** Possibly eliminate the best subsets approach to reduce computational demand |
| + ** Implement whole end-to-end iteration in the workflow for demonstration purposes |
| + |
| + !! Action items |
| + * Rod will create another option in the DarwinCore data source to allow aggregations by species (across providers) |
| + * Dan and Chad will handle format conversion from the .raw files to ascii |
| + * Dan will enumerate tasks to complete ENM pipeline in bugzilla, with an overall tracker bug |
| + ** Will assign developers as needed to get these steps done |
| + |
