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Nicola Wadeson and Mark Basham, from the Data Analysis Group at the Diamond Light Source, will present a reconstruction and processing pipeline for large volume datasets coming from parallel-beam tomography synchrotron experiments.
"Savu" originates in a tomography community. However it is designed to allow greater flexibility and be adopted for other types of experiments as Powder diffraction, SAXS or Ptychography.
In short:
Thursday morning (MAX IV room Ia-Ib): 10:30 - 11:00 - General introduction to Savu 11:15 - 11:35 - Savu demo 11:35 - 11:55 - Viktor Nikitin (MAX IV) - lprecon Thursday afternoon (MAX IV room II): 13:30 - 14:30 - Hands on Savu: Example data Friday (MAX IV room II): 10:30 - 11:30 - Hands on writing a Savu plugin 13:30 - 14:30 - Hands on Savu: Building a process list 14:50 - 15:30 - Summary and posible collaborations
Hands on session on how to write processing list. (for interested users)
Optimization of Savu installation in MAX IV compute environment.
From Rajmund:
Discussion about various features (new and existing):
alignment:
what is cSAX using? Is there any software for this. Fiducial markers still work best.
See if NINA could share some tools to be implemented in SAVU
GUI:
• what type of details we want to expose to users
• Is the best that the BL scientist always sets up the pipeline and then the users will not have to change anything.
• buttons such as make a preview / run full reconstruction
• Dawn could be one way if it is possible to trim back to only topography:
Streaming:
• processing without saving any partial results - some of these has been tried when SAVU works in the sinogram space and goes all the way
• We maybe can work on this together: apply for grants MAX IV - DIAMOND
reliability:
• has to be robust
• SAVU2 has solved some issues already
• the bottle neck in tenability/optimization of SAVU is in parallel Mpi HDF5. One would need a software which is portable and can be optimized at different sites.
Friday:
Bee Dataset:
padding was fixed
reconstruction with CGLS-CUDA in Astra gives also nice results
Viktor’s plugin:
fixed!
Optimization of Savu installation in MAX IV compute environment.
From Rajmund:
Discussion about various features (new and existing):
alignment:
what is cSAX using? Is there any software for this. Fiducial markers still work best.
See if NINA could share some tools to be implemented in SAVU
GUI:
• what type of details we want to expose to users
• Is the best that the BL scientist always sets up the pipeline and then the users will not have to change anything.
• buttons such as make a preview / run full reconstruction
• Dawn could be one way if it is possible to trim back to only topography:
Streaming:
• processing without saving any partial results - some of these has been tried when SAVU works in the sinogram space and goes all the way
• We maybe can work on this together: apply for grants MAX IV - DIAMOND
reliability:
• has to be robust
• SAVU2 has solved some issues already
• the bottle neck in tenability/optimization of SAVU is in parallel Mpi HDF5. One would need a software which is portable and can be optimized at different sites.
Friday:
Bee Dataset:
padding was fixed
reconstruction with CGLS-CUDA in Astra gives also nice results
Viktor’s plugin:
fixed!
Hands on session on how to write processing list. (for interested users)
Optimization of Savu installation in MAX IV compute environment.
From Rajmund:
Discussion about various features (new and existing):
alignment:
what is cSAX using? Is there any software for this. Fiducial markers still work best.
See if NINA could share some tools to be implemented in SAVU
GUI:
• what type of details we want to expose to users
• Is the best that the BL scientist always sets up the pipeline and then the users will not have to change anything.
• buttons such as make a preview / run full reconstruction
• Dawn could be one way if it is possible to trim back to only topography:
Streaming:
• processing without saving any partial results - some of these has been tried when SAVU works in the sinogram space and goes all the way
• We maybe can work on this together: apply for grants MAX IV - DIAMOND
reliability:
• has to be robust
• SAVU2 has solved some issues already
• the bottle neck in tenability/optimization of SAVU is in parallel Mpi HDF5. One would need a software which is portable and can be optimized at different sites.
Friday:
Bee Dataset:
padding was fixed
reconstruction with CGLS-CUDA in Astra gives also nice results
Viktor’s plugin:
fixed!