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HPC University BoF (Birds-of-a-Feather Session)

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Bonnie Bracey-Sutton Diglio Simoni (GLEF) (RTI International) John Cobb Stephenie McLean ... Kay Hunt Subha Sivagnanam (Purdue) (SDSC) Krishna Madhavan ... – PowerPoint PPT presentation

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Title: HPC University BoF (Birds-of-a-Feather Session)


1
HPC University BoF (Birds-of-a-Feather Session)
  • Presenting the Preliminary Analysis of
  • High Performance Computing
  • Training and Education
  • Requirements and Recommendations

2
Session Agenda
  • HPC University Introduction
  • HPC Overview
  • HPC University RAT Report
  • Breakout Discussions
  • Summary
  • Next Steps

3
Introduction What are we working on?
  • HPC University RAT Charter
  • The HPC Training RAT will identify successful
    paths to creating qualified, effective HPC
    professionals, capable of exploiting current
    super-terascale and upcoming petascale
    technologies for the advancement of scientific
    research. Gaps in training materials and delivery
    methods will be identified, and recommendations
    for filling these gaps will be presented.
  • RAT Requirements Analysis Team, an ad hoc
    group of TG staff and others, with a short-term
    mandate, who are chartered to evaluate a specific
    topic and report to TG management on feasible
    solutions. NOT an implementation team.

4
Whos Involved?
Laura McGinnis Chair Pittsburgh Supercomputing
Center
Members Bonnie Bracey-Sutton Diglio
Simoni (GLEF) (RTI International) John
Cobb Stephenie McLean (ORNL) (RENCI) Shawn
Brown Christian Chilan (PSC) (UC/ANL)) Brad
Armosky Sudhakar Pamidighatam (UT
Austin/TACC) (NCSA) James Rome John
Ziebarth (ORNL) (Krell Institute) Mary Ann
Leung Scott Lathrop (e-SciTek, LLC) (UC/ANL) Kay
Hunt Subha Sivagnanam (Purdue) (SDSC) Krishna
Madhavan (Clemson)
Advisory Alina Bejan (Open Science Grid) Steve
Gordon (Ohio Supercomputing Center) Leslie
Southern (Ohio Supercomputing Center) Robert
Panoff (Shodor) Kristina Wanous (UC/ANL)
5
Why Are We Doing This? (HPC Overview)
6
Terascale ? Petascale Are you ready?
7
HPC Resources Supercomputer Capability Growth
Gr Challenges in Science Engineering
Human Genome2003
10 P
1,000 T
1,000 T
500 T
2 Years 180 T-FLOPS
100 T
4 Years 90 T-FLOPS
10 T
4 Years 9 T-FLOPS
1 T
4 Years 0.9 T-FLOPS
0.1 T
4 Years 0.09 T-FLOPS
0.01 T
5 Years 0.009 T-FLOPS
0.001 T
100 M
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
1985
1984
2015
Cray X-MP 4 processors
8
Earthquake Simulation Grand Challenge
Remote Runtime Steering of Integrated Terascale
Simulation Visualization
Hongfeng Yu, Tiankai Tu, Jacobo Bielak, Omar
Ghattas, Julio C. Lopez, Kwan-Liu Ma, David R.
OHallaron, Leonardo Ramirez-Guzman, Nathan
Stone, Ricardo Taborda-Rios, John Urbanic
9
Terascale?Petascale Are you ready?
10
HPC University Vision
  • Prepare next generation of users for next
    generation of computers
  • Training road map/ pathways

11
Training road map
12
Mapping core competencies
13
Methodologies
14
What Have We Learned (so far)? (HPC University
RAT Report)
15
RAT Report
  • Catalog Map
  • Topics
  • Mastery Levels
  • Quality Assurance
  • Delivery Methodologies
  • Target Populations
  • Demographics
  • Disciplines
  • Scaling Dissemination

16
General Topics
Modeling Simulation HPC Technology
(hardware) Architectures (Parallel, Dist,
Grid) Workflow management Programming
Algorithms Development Tools Software
Engineering Operational Issues Performance
Analysis Verification Validation Code
Optimization Science gateways resources Data
analysis/post processing Visualization Scalable
Computing Domains (physics, chem, etc.) HPC
Application packages Collaboration
At least 10 Less than 10 None
17
Catalog Map
At least 10 Less than 10 None
18
Catalog Map Recommendations
  • Complete the verification and validation process
    for all entries in the catalog
  • Develop a mechanism for the continual update of
    the catalog to identify new sources of training
    materials
  • Make the catalog readily available to the HPC
    community

19
Quality Assurance
  • CSERD/NSDL Overview
  • Digital repository for instructional reference
    materials for computational science resources
  • Includes comprehensive review mechanism for
    materials, similar to journal review process
  • Solving the problem correctly ! Solving the
    correct problem?
  • Verification
  • the resource works as advertised on the computing
    platforms as advertised
  • Validation
  • the resource is based on current, valid
    scientific methods
  • Accreditation
  • the resource is appropriate for the advertised
    audience

20
Quality Assurance Recommendations
  • Leverage CSERD/NSDL
  • Broad dissemination
  • Formal VVA review process.
  • Resource Management i.e. identify a primary
    editor
  • Finding reviewers,
  • Organizing reviews
  • Publishing the resources that have passed a
    minimum quality level
  • Broadening Community Involvement
  • Contribute additional materials
  • Offer community comments on the resources
  • Provide feedback on the resources to TeraGrid on
    a regular basis

21
Delivery Methodologies
Total number of offerings 239
This is a hole
22
Delivery Methodologies Recommendations
  • Plug the holes - provide a variety of teaching
    methods for each topic area
  • Allow students to customize training programs to
    meet their learning styles.
  • Redesign course materials to produce effective
    interactive online learning experiences
  • Avoid simply putting lecture-based materials
    online
  • Utilize efficient multi-disciplinary teams,
    including
  • subject matter experts
  • instructional designers technologists
  • information technologists
  • tutors
  • faculty
  • project managers
  • Incorporate metacognitive skills development
    into all training methods
  • Create or adopt a module that teaches students
    how to become aware of their most effective
    learning styles
  • Supplement these materials with guidelines on how
    to select the appropriate training materials
    based on their learning styles

Metacognitive the act of thinking about
thinking
23
Population Analysis - Demographics
  • Underrepresented populations The
    underrepresented populations are measured as the
    number of users at MSIs
  • The MSI list is generated from a number of
    sources
  • ed.gov (the US Department of Education) list of
    MSIs
  • collegeboard.com (college search site), with
    search criteria of
  • 4-year HBCUs
  • 4-year Hispanic schools
  • 4-year Womens schools
  • NSF EPSCOR list

Other
Institutions (499 total)
Users (6475 total)
EPSCOR
Hispanic
HBCU
Womens Colleges
24
Population Analysis - Disciplines
  • Represented Fields of Science
  • Molecular Biosciences Materials Research
  • Astronomical Sciences Advanced Scientific
    Computing
  • Mechanical Structural Systems Earth Sciences
  • Integrative Biology Neuroscience Electrical
    Communication Systems
  • Chemistry Chemical, Thermal Systems
  • Physics Atmospheric Sciences
  • Computer Computation Research Mathematical
    Sciences
  • Biological Critical Systems This represents 90
    of all projects allocated to the TeraGrid.
  • Underrepresented Fields of Service
  • Design Manufacturing Systems Training
    Inorganic, Bioinorganic, Organometallic
    Chemistry
  • Biophysics Networking Communications
    Research Theoretical Physics
  • Behavioral Neural Sciences Algorithm
    Development Metals, Ceramics, Electronic
    Materials
  • Performance Evaluation Benchmarking Ocean
    Sciences Gravitational Physics
  • Analytical Surface Chemistry Elementary
    Particle Physics Extragalactic Astronomy
    Cosmology
  • Nuclear Physics Software Systems Statistics
    Probability
  • Thermal Systems Distributed Parallel
    Processing, Vectorization Educational
    Infrastructure
  • Genetics Nucleic Acids Global Atmospheric
    Research Environmental Biology
  • Neuroscience Biology Planetary Astronomy Solar
    Terrestrial Research
  • Social Economic Science Cross-Disciplinary
    Activities Information, Robotics, Intelligent
    Systems
  • Physical Chemistry Biochemistry Molecular
    Structure Function Galactic Astronomy
  • Fluid, Particulate, Hydraulic Systems Applied
    Mathematics Organic Macromolecular Chemistry
  • Condensed Matter Physics Engineering
    Centers Science Engineering Education
  • Atmospheric Chemistry Engineering Infrastructure
    Development Mechanics Materials
  • Polar Programs Solid State Chemistry
    Polymers Stellar Astronomy Astrophysics
  • Biological Instrumentation Resources
    Economics Microelectronic Information
    Processing Systems
  • Geophysics Industrial Science Technological
    Innovation Meteorology
  • Physiology Behavior Quantum Electronics, Waves,
    Beams Solid-State Microstructures

25
Population Analysis Recommendations
  • Proactively support efforts to Broaden
    Participation across
  • Underrepresented demographics
  • Underrepresented fields of science
  • Broaden delivery methods
  • Synchronous eliminates geographic boundaries
  • Asynchronous eliminates temporal boundaries

26
Scaling Dissemination
  • Train-the-trainer
  • Most people teach the way they were taught
  • BUT, most survey respondents are self-taught
  • Sohow do we scale and disseminate HPC training?
  • Collaboration Mentoring
  • Time-intensive for master, but effective
    methodology (long history of success)
  • Traditionally geographically temporally
    constrained
  • Technology-du-jour - Masters may be disinclined
    to learn new technology
  • Learning curves
  • Versioning dialects
  • Pain threshold for dealing with reliability
    issues

27
Scaling Dissemination Recommendations
  • Identify and promote Best Practices for content
    development and delivery
  • Encourage mentoring within TeraGrid
  • Create a Web portal for people to volunteer their
    services
  • Create a Web Portal for users to ask questions
    and to get a mentor
  • Provide real incentives for such volunteer
    activity
  • Study the social interactions in mentoring
    situations to provide training to make mentoring
    more effective
  • Provide support to HPC trainers
  • Training accounts on TeraGrid
  • Help with developing and critiquing course
    content
  • Provide a Web Portal for users new to HPC that
    would provide a roadmap of training that would
    lead them to their individual goals

28
How can YOU help? (Breakout Sessions)
29
Breakout Groups
  • Catalog
  • Quality Assurance
  • Delivery Methodologies
  • Populations
  • Scaling Dissemination

30
Breakout Groups Questions to Answer
  • Are these the right topics?
  • What are we missing?
  • Are the recommendations sensible? Feasible?
  • What would you like the next steps to be?

31
Where do we go from here? (Next Steps)
32
RAT Next Steps
  • Consolidate info from SC07
  • Present to TG governance (December 2007)
  • On approval, begin implementation
  • Project plan
  • Funding
  • Rollout
  • Etc
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