Intellectual Architecture
13
1 Intellectual Architecture Leverage existing domain research strengths and organize around multidisciplinary challenges Institute for Computational Research and Education in Science, Engineering and the Arts A Proposed Framework for Computational Research and Education at UCLA Opportunity for integration, growth, knowledge transfer, and new funding
description
A Proposed Framework for Computational Research and Education at UCLA. Intellectual Architecture. Leverage existing domain research strengths and organize around multidisciplinary challenges. Institute for Computational Research and Education in Science, Engineering and the Arts. - PowerPoint PPT Presentation
Transcript of Intellectual Architecture
1
Intellectual Architecture
Leverage existing domainresearch strengths and organize aroundmultidisciplinarychallenges
Institute forComputational
Research and Education in Science, Engineering
and the Arts
A Proposed Framework forComputational Research and Education at UCLA
Opportunity for integration, growth, knowledge transfer, and new funding
2
Background
• ASCI failed proposal ( ~ 7 years ago)
• Continued to build strengths across campus in high-end computation and visualization
• Growing interest in the campus to cooperate across disciplines through multidisciplinary centers and support of IT side of University with research enterprise
• Growing interest in the campus to cooperate across disciplines through multidisciplinary centers
• Increased interaction and support of IT side of University with research enterprise
• Campus Faculty, Computational Research Advisory Board (CRAB), and the ITPB through its vision statement of “Research Leadership” got behind the effort
3
• Significant momentum achieved by Spring 2004 – Clear decision by HSSEAS and Physical Science Deans
to commit significant resources
– Full willingness by Jim Davis and Marsha Smith to realign ATS to support the Institute
– Full buy-in for moving along this path by Life Science and School of Medicine Deans
– Enthusiastic support of SAA and TFT Deans- Seen as further enabling the Experiential Technology Center (ETC) and Media, Performance and Engineering Research Center (MPERC)
– Identification of Alan Laub as potential leader for initiative
– Clear indications of Federal Government willingness to invest in this area
Background (cont.)
4
• By December 2004, agreement from the Chancellor to proceed:
– Seed funding for 5 years
– Recruitment of the Director
– Begin the process of transition - the Institute, ATS and OIT
– CNSI space for the Institute
Background (cont.)
5
Institute for Computational Research and Education for Science, Engineering and the Arts (working title)
• A more detailed look at the Institute:
– Elements of computational research and education which make UCLA a national leader
– The Institute is responsive to:
• new funding potential
• UCLA trends in computational growth
– Opportunity for integration, growth, knowledge transfer, and new funding
6
Organize to broaden and support use of applied mathematics and computation to deal with problems of increasing scale and complexity
Modernize and optimize research facilities, computational clusters,and high performance Networks (the Campus Cyber-infrastructure)
Leverage existing disciplinaryresearch strengths and organize aroundmultidisciplinarychallenges (NIH - Center for Computational Biology being the most recent example)
Organize to broaden and support use of applied mathematics and computation to deal with problems of increasing scale and complexity
Leverage existing domainresearch strengths and organize aroundmultidisciplinarychallenges
Institute forComputational
Research and Education in Science, Engineering
and the Arts
Multidisciplinary Institutes DOE Lab of Structural Biology,
PSTI, LONI, IGPP, CMISE, CNSI…
Academic DepartmentsDisciplinary Interests and
Education
Computer Science and Applied Math
Campus CyberinfrastructureResources and Services
through Academic Technology Services
Institute for Pure and Applied Mathematics
Elements of Computational Research and Education which make UCLA a National Leader
Build Upon Partnerships•S. Campus Deans - Eng., Phy.
Sci., Med., Life Sci.•N. Campus Deans - A&A, TFT•VC Research and AVC of IT•CNSI - Data Center•ATS and OIT
7
Responsive to External and Internal Trends
Revolutionizing Science and Engineering through CyberInfrastructure (NSF Blue Ribbon Panel - 5/1/2002)
National priorities for most challenging problems
UCLA IT Repositioning Initiative
Increasing demand for computation on campus(cycles and software tools)
Intellectual Architecture
Leverage existing domainresearch strengths and organize aroundmultidisciplinarychallenges
Institute
Multidisciplinary InstitutesDOE Lab of Structural Biology,
PSTI, LONI, IGPP, CMISE, CNSI…
Academic DepartmentsDisciplinary Interests and
Education
Computer Science and Applied Math
Campus CyberinfrastructureResources and Services
through Academic Technology Services
Institute for Pure and Applied Mathematics
High-End Computing Revitalization Report (HECRTF - 5/10/04)
A Science-Based Case for Large Scale Simulations (Office of Science, DOE 6/30/04)
Retention and transfer of software development knowledge
8
Responsive to UCLA Trends in Computational Growth
4,009
10,020
19,408
632
6,575
10,983
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
22000
Oct-03 Current (Dec. 2004) Projected (2005)
Campus - 150%
ATS - 940%
Computational Growth (GFLOPS)Past, Current and Projected
9
Institute for Computational Research and
Educationfor science, engineering,
and the artsParallel Code Optimization
Education & Training
Cross-campus Research Centers
Computational Research
Academic Disciplines
Multidisciplinary Vision
Core Infrastructure
Data Structure and Access
Algorithmic Development And Application
New Technology Integration
Offers Opportunity for Integration, Growth, Knowledge Transfer, and New Funding
UCLA Research Enterprise
ATS Infrastructure
Academic Deans
10
Aligning ATS with the Institute
• Incorporates the philosophy of a campus wide resource:
– Enable ATS to deliver computational resources and services to the campus not restrict them
• Build on existing investments in computational infrastructure
• Create a sustainable funding model
11
HIGHPERFORMANCESTORAGE
SHAREDSTORAGE
MODELING LAB
STATSLAB
HOFFMANCluster40 Nodes
3584L32 TapeBackup System
80 TB
ArcGISOracle Server
TSMServer
Tivoli IdentityManagement
System
ISSR Storage
WINDOWSNETWORK
SGIONYX2
SGIOrigin
3400
VISUALIZATION PORTAL160 X 40 degree ImmersiveVirtual Reality Theater
Campus Backbone, Internet, andSuper Computer Centers
TECHNOLOGYSANDBOX
GRID TESTCluster14 Nodes
CNSINano- TechnologyCluster24 Nodes
NEUTRINOTheoretical Elementary Physics & AstronomyCluster24 Nodes
CMISECell Mimetic Space ExplorationCluster14 Nodes
DALTONChem EngCluster8 Nodes
DAWSONPlasma PhysicsCluster259 Nodes
HOSTED CLUSTERS:
ATS GIGABIT ETHERNETBACKBONE
MOLSIMMolecular SimulationCluster13 Nodes
MILESFunctional MRI Cluster8 Nodes
MIRTH SIMULATOREarth SciencesCluster71 Nodes
VIDEO SERVINGCluster
Research Scholar Lab
Rendering Cluster
Building on Existing Investment in Computational Infrastructure through ATS
12
What should the organizational structure be?
• At local level, the governance of the Institute is relatively straightforward
- Institute will be run by a Director
- Institute will have an Executive Committee with broad representation across UCLA
- Institute will also have an External Advisory Board, with members from the National Labs, industry, and other universities
• Much more challenging is what to do at University level
– must be partnership based (VCR, OIT, ATS, Institute)
– must start with a transition period that allows for thoughtful input to make organizational changes that fully enable the Institute but also make sense for the campus
13
TechnicalSupport
Faculty Researchers
Industry
Computational Resources
Technology Sandbox
Testing Prototyping
Experimentation
BenchmarkingTrials
OutcomesPublished
OutcomesPublished
A Sketch of the Organizational Landscape for Computational Research and Education at UCLA
A starting point to encourage discussion and input!
HIGHPERFORMANCESTORAGE
SHAREDSTORAGE
MODELING LAB
STATSLAB
HOFFMANCluster40 Nodes
3584L32 TapeBackup System
80 TB
ArcGISOracle Server
TSMServer
Tivoli IdentityManagement
System
ISSR Storage
WINDOWSNETWORK
SGIONYX2
SGIOrigin
3400
VISUALIZATION PORTAL160 X 40 degree ImmersiveVirtual Reality Theater
Campus Backbone, Internet, andSuper Computer Centers
TECHNOLOGYSANDBOX
GRID TESTCluster14 Nodes
CNSINano- TechnologyCluster24 Nodes
NEUTRINOTheoretical Elementary Physics & AstronomyCluster24 Nodes
CMISECell Mimetic Space ExplorationCluster14 Nodes
DALTONChem EngCluster8 Nodes
DAWSONPlasma PhysicsCluster259 Nodes
HOSTED CLUSTERS:
ATS GIGABIT ETHERNETBACKBONE
MOLSIMMolecular SimulationCluster13 Nodes
MILESFunctional MRI Cluster8 Nodes
MIRTH SIMULATOREarth SciencesCluster71 Nodes
VIDEO SERVINGCluster
Research Scholar Lab
Rendering Cluster
Dean’s Steering CouncilHSSEAS, LS, PS, SAA,
SOM, TFT
Computational Research Executive Committee
(faculty from all disciplines across campus)
VCR(Peccei)
AVC(Davis)
Director(CIRE)
Director(OIT)
Campus Computational Research Infrastructure
New Technology for Research, Instruction and Productivity
Chancellor’s Office
CNSI - Data Center
