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Summary of Processes Rutt – offline.recon – memory bound – COMSOL – memory bound – mcDESPOT and quantitative mapping – CPU bound, voxelwise parallel Zeineh.

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Presentation on theme: "Summary of Processes Rutt – offline.recon – memory bound – COMSOL – memory bound – mcDESPOT and quantitative mapping – CPU bound, voxelwise parallel Zeineh."— Presentation transcript:

1 Summary of Processes Rutt – offline.recon – memory bound – COMSOL – memory bound – mcDESPOT and quantitative mapping – CPU bound, voxelwise parallel Zeineh – offline.recon – ImageJ – memory bound – ASHS – CPU bound McNab – FSL, bedpost – CPU bound, voxelwise parallel – FreeSurfer – serial – Probabilistic ICA for resting state fMRI – Matlab diffusion simulations – memory intensive

2 Summary of Load Most describe their load as “peaky” – Development time and coming up with new ideas dominates However, Michael would like to start up larger studies within 5 yrs. – 30-50 subjects Planning on routine thalamic segmentation?

3 Summary: Hardware Needs – High memory – at least 64GB, Michael wants 196GB – Unified data storage and backup Wants – Prioritize CPU speed over cores as many jobs are not parallelized In general, having enough memory to make the problem feasible at all is most important – Faster CPU is just an incremental improvement

4 Summary: Software Needs – DICOM connectivity How do we get this without OSX/OsiriX? – Scheduling and job submission – Matlab, FSL, FreeSurfer, etc. Wants – Remote desktop Esp. for viewing larger datasets (ImageJ or Trackvis) Not sure if this is an appropriate use of the system Would change the hardware of the terminal node

5 Concerns Jennifer looking for a solution ASAP – I stated end of Jan purchase date, which she was okay with Administration – This could turn out to be a fairly demanding job esp. for many users Sharing and resource management – Need to develop a policy for sharing compute time – At MGH/Martinos, they have one machine that’s a free for all and others must be reserved/scheduled

6 Hardware Proposal If there is some urgency, we should focus on expandability: – Get something that meets our core needs now – But that can be expanded as users begin to use it more or better understand what their jobs need Terminal node – Simple barebones system with minimal CPU power and RAM – Functions as the liaison between user and cluster, manages job scheduling & load distribution – Used for testing programs and scripts for compatibility – Could possibly have remote desktop, but would then need a lot more RAM Data server – Minimal CPU power and RAM – RAID – 6 (req. 4 drives), 60 (req. 8 drives, more fault recovery) Compute nodes – 64GB RAM with as many slots as possible – CPU? – Ideally diskless – Need fast (10Gbps) connection to data server

7 Stanford Services and Rates IT – Consulting for planning– free? – Basic administration – $3.6k/yr – Secured housing for rack, 10Gbps connection to campus backbone – $3k/yr – Backup storage – $4-5k/yr per 10TB Med School, IRT – Basic administration – $2.4k/yr – Secured housing for rack – $4.8k/yr – $840/yr per 500GB


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