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Make all engines compatible with live processing. #459

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bjoernenders opened this issue Jan 17, 2023 · 0 comments
Open
10 tasks

Make all engines compatible with live processing. #459

bjoernenders opened this issue Jan 17, 2023 · 0 comments
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@daurer
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0.9 High-performance for entire framework scaling improve performance (weak scaling) of static model

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@bjoernenders
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  • Create live processing demos and templates to put the engines to test.
  • Create live processing unit tests if needed.
  • pycuda projectional engines compatible
  • pycuda ML engine compatible (low prio, as ML is often refinement when all data is present)
  • pycuda stochastic engines compatible
  • all accelerate base engines are compatible
  • all regular CPU engines are compatible
  • cupy projectional engines compatible
  • cupy ML engine compatible (low prio, as ML is often refinement when all data is present)
  • cupy stochastic engines compatible
@bjoernenders bjoernenders added 0.8 scaling improve performance (weak scaling) of static model labels Jan 17, 2023
@daurer daurer self-assigned this Jan 17, 2023
@daurer daurer added 0.9 High-performance for entire framework and removed 0.8 labels Dec 15, 2023
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@daurer daurer

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0.9 High-performance for entire framework scaling improve performance (weak scaling) of static model
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