One sentence summary
- SCA should be (seen to be) leader in mainstream computing technologies for the lab, a reliable partner for collaboration and able to develop and support tools for the wider physics community.
First Steps
- Developing criteria/metrics for project support levels within SCA **
- Take into account need to support existing experiments/projects vs need to develop new initiatives
- Support single experiment/projects vs set of SLAC based projects vs extended community
- Internal funding vs external funding
- Understanding existing and planned projects within SCA **
- Including projects which SCA could/should be involved in
- Try to identify common requirements which can be "factored out"
- Maximize reuse, eliminate unnecessary/unintentional duplication
- Defining technical direction for new projects **
- Attempt to balance leveraging of existing skill-sets vs understanding and exploiting new industry trends
- Need people's input on what we should be doing
- Form "task-force" to evaluate some new technologies
- Create SLAC wide developers "journal-club"
- Developing targets of opportunity for new projects and collaborations **
- Set of projects ready when new funding opportunities present themselves
- Developing priority list for existing/new projects
- Creation of (new) project teams **
- Possibly bring people together from different parts of SCA, and people from outside of SCA
- E.g. LSST Camera Control System
- SLAC Max, Tofigh, Owen Saxton, Stuart Marshall
- Paris, Indiana, Arizona, Brookhaven, ...
Possible Projects (very early ideas -- not meant to all be good ideas)
- New Projects **
- Projects with Computing Division
- Support for GIT, Fisheye, ...
- Interactive web based scientific computing status page
- Better integration between Crowd, Group Manager, Single sign-on
- Account management
- mathjax for confluence
- LSF with virtualization
- Data Management ** *
- Data Portal for Photon Science (and Astro physics)
- Best features from Fermi data catalog, JCSG, CXIDB, ICAT, Dirac, ...
- Why stop at presenting data location via the web?
- Should be able to drill into and operate on data
- In a collaborative way
- Web based scientific data visualization tools ***
- Extension/compatible with Google Visualization API
- Virtual Observatory integration
- LCLS real-time image displays
- Existing Projects
Impoved SCA
...
web presence
Possible
Possible Collaborators (see above)
- Atlas group at Argonne (
Sergei Chekanov, David Malon, ...) - Root team
- Tech-X
- Google/Amazon/...
...
Technologies (see above)
- Technology selection criteria **
- Lifespan/stability
- Adoption/Support
- Popularity/Mindset
- Language neutrality/Interoperability
- Google visualization API
- Web/HTML5/GWT/Dart/Json
- HDF5
- IPython/IPython Notebook
- Virtual Observatory
- MatLab
- DGAS (http://www.to.infn.it/dgas/)
- LSF virtualized cluster support
- Google Cloud
- Replacement for LSF (Steffen)