UVACSE Town Hall - PowerPoint PPT Presentation
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Title: UVACSE Town Hall
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UVACSE Town Hall
- University of Virginia Alliance for Computational
Science and Engineering - December 11, 2008
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Agenda
- Who/what is UVACSE?
- Goals non-goals
- Metrics/strategy
- Outreach
- Tiger Teams
- Resource rationalization
- Issues
- Your thoughts
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Who/what is UVASE?
- UVas response to the computational science
revolution - Formed after years of discussion by John Hawley,
Mitch Rosen, Andrew Grimshaw,Rob Ribando, John
OConnell, and many others. - https//www7.seas.virginia.edu/itrtf
- Faculty led supported () by the administration
and the VP-CIO - Faculty allocation and policy board
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People
- Director Andrew Grimshaw (CS)
- Staff
- Dr. Ed Hall
- Dr. Katherine Holcomb
- Mark Morgan
- Student tiger team members
- Karolina Sarnowska
- Duane Merrill
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Goals
- Support sponsored computational science research
in Virginia - Change the culture of computation
- Education/outreach/curriculum
- Be the place in Virginia for HPC be a statewide
resource - Foster a multi-disciplinary ethos
- Assist ITC/UVA/the schools in planning, managing,
and acquiring computational resources - Rationalize high-end computing
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Non-goals
- Build or manage a big machine for massive macho
flops
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Success Metrics
- How do we measure culture?
- Codes ported
- Cycles delivered
- Number of users of HPC
- Especially faculty
- Science done papers that result
- Bootcamps/classes attended
- Increase in research budgets associated with
computational science
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Strategy
- Outreach and education to change the culture
- Continue with boot-camps/short courses
- HPC, Unix/Linux, debugging, sci-viz, check
pointing, data management, data mining, (Perl,
Bash, Python, Matlab, Fortran) for the novice - Work with schools/departments on computational
science curriculum - Tiger teams
- to assist with codes and culture
- move codes when appropriate to national resources
to free up local resources - Exploit technology to rationalize UVa resources
- PBS/Grids and integration into the Teragrid
- Inventory and integrate the large number of
clusters on grounds need a carrot to get them
to add to the stone soup - Lab classroom machines for high throughput
computing - Work with ITC to solve the data problem
2GB/user is pitiful. Direct access to home
machine from any machine on grounds. - Work with ITC resource managers to set
computational science friendly policies.
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Outreach Education
- Class in September/October
- Unix 22
- Fortran 26
- Adv. Fortran 15
- Matlab 15, 19, 20, plus a SEAS class
- Bash 13
- C 12
- January 2009 HPC bootcamp preparation underway.
- What sort of classes do your students, postdocs,
and staff need?
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Tiger Team Progress
- 10 responses
- Projects started
- Avik Ghosh parallelized, awaiting better
algorithm - Bill Walker 3X plus CUDA
- Nunemaker - done
- Ghyczy (Darden) vanished
- Haj-Hariri on-going
- Pasanak (English) - done
- Learmonth 9,000 jobs for his student
- Frank Diviney 10,000 jobs
- Tiger team proposals always welcome
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Compute Data Resources
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Queues/Clusters
- ITC Clusters Cedar (250), Dogwood (500), Elder
(24) - Contradictory goals
- High utilization (lots of flows)
- Low queue waits
- Long running jobs
- We have people who have put their equipment in
the cluster and are suffering queue delays - Solutions all have problems
- Shorten max job life
- Isolate owned resources
- Kill/suspend non-priority jobs when high priority
arrive - Dump jobs to CS (note we will only have a small
number of nodes with very long reservations
allowed) - Get sequential jobs off of the cluster use
Linux/Windows desktops - Push people to national centers
- Accounting
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Non centralized resources
- Department/research group clusters
- CS, Astronomy, etc.
- Desktop machines
- Linux Windows
- Public and private
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Rationalization of resources
- Changed policy on clusters
- Utilization up but some problems
- Campus grid (XCG) is up and running
- 100s of desktop resources
- CS clusters and ITC clusters in the mix
- Support for high throughput computing, low-degree
parallel jobs, and secure data sharing - To utilize non-ITC clusters requires using XCG
- Three applications already, tens of thousands of
jobs - Expanding to VT next semester as part of XCG
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XCG initial configuration
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Accounting
- Historically CPU resources are free at UVA
- Different resources cost different amount some
are more scarce. - Queue controlled parallel machines are needed for
some applications not others - Some resource classes are much cheaper
- Desktop PCs (Windows, Linux, MacOS)
- There are more resource types than just CPU
- Storage, network, CPU, licensees
- Think of Amazons price model
- I believe we need a market model, where
resources costs, different classes of resources
cost different amounts, and people can sell
their excess resources - For example, Cluster resources .15SU/hr, Linux
sequential .1SU/hr, Windows sequential .02SU/hr
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Discussion
- How would you feel about an accounting and
pricing model? - What do you need to get your work done?
- Do you need storage more than cycles?
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