1. Coarse Grained Interoperability scenarios
SHIWA SA2
presented by Vladimir Korkhov, AMC

2. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
SHIWA Use Cases
Use case A: Running non-native workflows
Use case B: Creating and running meta-workflows
Use case C: Running workflows on multiple DCIs
Coarse grained interoperability (CGI): Use cases A and B
SHIWA CGI scenarios, Vladimir Korkhov,

3. Coarse-grained interoperability
Nesting of different workflow systems to achieve interoperability of execution frameworks
SHIWA CGI scenarios, Vladimir Korkhov,

4. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
CGI goals
Meta-workflow – combination of heterogeneous native and non-native workflows
Creating a meta-workflow by encapsulating nested workflows to:
Utilize resources from different DCIs together (thus get more resources)
Combine workflows described in different languages and running on different engines
Be able to reuse workflows as a component in meta-workflows
SHIWA CGI scenarios, Vladimir Korkhov,

5. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
CGI challenges
Construction of a meta-workflow
combining heterogeneous workflows
description of meta-workflows
Executing heterogeneous workflows
Accessing multiple DCI resources
Data transfers between DCIs
Security and credentials handling between DCIs
SHIWA CGI scenarios, Vladimir Korkhov,

6. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
Pilot applications
Neuroscience
Surface chemistry
Medical simulation
Bioinformatics
SHIWA CGI scenarios, Vladimir Korkhov,

7. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
Scenario 1: DTI Atlas
Neuroscience, brain imaging
Magnetic Resonance Imaging (MRI)
Diffusion Tensor MRI (DTI)
MR-modality enabling the identification of the orientation of human tissue.
Indirect measure of water diffusion in brain tissue
used in comparative studies of brain diseases that are thought to cause local damage to brain tissue
DTI Atlas: single average tensor field is computed for a group of subjects, which can then be used for further analysis.
CGI scenario:
Combine a pipeline workflow of sub-workflows performing separate analysis steps
re-use existing workflows
SHIWA CGI scenarios, Vladimir Korkhov,

8. DTI Atlas implementation
Co-registration
MOTEUR/Dutch Grid
Warping
Fitting
SHIWA CGI scenarios, Vladimir Korkhov,

9. Scenario 2: FSL BedpostX
Neuroscience, brain imaging
FMRIB Software Library (FSL)
BedpostX
Diffusion Tensor Imaging (DTI)
Magnetic Resonance Imaging (MRI).
reconstructs the fibers in each voxel using an advanced method that supports crossing fibers
CGI scenario:
Run on different DCIs in parallel to get more resources
Use implementations of the same workflow supported by different WF engines on different DCIs
Add links to the repository for the workflow
SHIWA CGI scenarios, Vladimir Korkhov,

10. FSL BedpostX implementation
MOTEUR/Dutch Grid
GWES/D-Grid
FSL-BedpostX
Add one (more?) slide explaining implementation of each case/pilot/scenario
SHIWA CGI scenarios, Vladimir Korkhov,

11. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
Scenario 3: GATE
Medical simulation
GATE
simulation software developed by the OpenGate Collaboration
used here for radio- and hadrontherapy simulations, but it can also simulate image acquisition, e.g., Positron Emission Tomography.
CGI scenario:
Integrating heterogeneous workflows into the native workflow to achieve better performance by accessing different DCIs via workflow engines.
SHIWA CGI scenarios, Vladimir Korkhov,

12. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
GATE implementation
GWES/D-Grid
MOTEUR/EGI
SHIWA CGI scenarios, Vladimir Korkhov,

13. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
Execution on SSP
SSP – SHIWA Simulation Platform
SSP provides the means to:
Compose meta-workflows
Enact meta-workflows
Monitor meta-workflows execution
Retrieve results of the execution
Some words, screenshots about the execution?
SHIWA CGI scenarios, Vladimir Korkhov,

14. SHIWA CGI scenarios, Vladimir Korkhov, 11.04.2011
Discussion
Construction of meta-workflows
Execution of meta-workflows
Multiple DCIs: access and execution
data transfers between DCIs,
multi-grid credential management
software dependencies
merge sub-workflows output results
These are remaining issues
SHIWA CGI scenarios, Vladimir Korkhov,