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Revamp working of Batched Solvers #68
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## main #68 +/- ##
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- Coverage 92.30% 92.01% -0.30%
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Files 16 20 +4
Lines 819 952 +133
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+ Hits 756 876 +120
- Misses 63 76 +13
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This reverts commit e905737.
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@ChrisRackauckas, this is ready for review. This is quite an aggressive change to how things work internally, but the speedups seem worth it. The CI failures seem related to SciMLOperators and LinearSolve. |
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@ChrisRackauckas bump on this |
ChrisRackauckas
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Some very crude benchmarks using a problem size of
1 x 1000(i.e., 1000 batch size)Broyden
11.312 ms (883 allocations: 2.27 MiB)10.678 ms (545 allocations: 548.62 KiB)10.915 ms (522 allocations: 373.94 KiB)LBroyden
OLD:Failed ConvergenceNEW:Same Failed ConvergenceNEW (in-place):Same Failed ConvergenceNot updating it since my updates again broke it. For NN cases anyways BatchedDFSane seems to be more reliable and fast.
SimpleDFSane
1.389 ms (1510 allocations: 2.61 MiB)1.093 ms (261 allocations: 1.05 MiB)1.014 ms (242 allocations: 929.45 KiB)Raphson
N/A997.954 ms (6452 allocations: 142.61 MiB)N/ASummary of Updates:
if batchingand similar, I am separating the code for batched and unbatched versions for easier maintenance