PowerPoint Presentation by 2U4mb9C


									UT Grid: Building a campus grid
                Ashok Adiga, Ph.D.
       Distributed & Grid Computing Group
       Texas Advanced Computing Center
        The University of Texas at Austin
                  (512) 471-8196
               TACC Grid Program
• TACC involved in several Grid projects
   – Campus Grid (UT Grid, partially funded by IBM)
   – State Grid (TIGRE)
   – National Grid (ETF)
• Grid Hardware Resources
   – Wide range of hardware resources available to research community
     at UT and partners
• Grid Software Resources
   – Significantly leverage NMI GRIDS components (Globus Toolkit,
     GPT, MyProxy, Gridport, GridFTP, …)
   – Other software where necessary
       • Resource managers (Condor, LSF, PBS, United Devices)
       • Schedulers (Condor, Community Scheduling Framework)
                   TeraGrid (National)
• NSF Extensible Terascale Facility (ETF) project
   – build and deploy the world's largest, fastest, distributed computational
     infrastructure for general scientific research
   – 40 Gbps backbone with hubs in Los Angeles, Chicago & Atlanta
• UT (led by TACC) going online on Teragrid October 1 2004
   – 10 Gbps network connection to ETF backbone
   – Provide access to high-end computers capable of 6.2 teraflops, a new
     terascale visualization system, and a 2.8-petabyte mass storage system
   – Provide access to geoscience data collections used in environmental,
     geological climate and biological research:
       •   high-resolution digital terrain data
       •   worldwide hydrological data
       •   global gravity data
       •   high-resolution X-ray computed tomography data
• Current software stack includes: Globus (GSI, GRAM, GridFTP),
  MPICH-G2, Condor-G, GPT, MyProxy, SRB
TIGRE (State-wide Grid)
• Texas Internet Grid for Research and
  – computational grid to integrate computing &
    storage systems, databases, visualization
    laboratories and displays, and instruments and
    sensors across Texas.
  – Funding announced by Gov. Rick Perry at
  – TIGRE members include several leading state
     • Rice, Texas A&M, Texas Tech, U of Houston, UT Austin,
       UT El Paso, others…
  – Initial software stack will use NMI GRIDS
UT Grid Vision: A Powerful, Flexible, and
Simple Virtual Environment for Research
               & Education
 The UT Grid vision is the creation of a
 cyberinfrastructure for research and
 education in which people can develop and
 test ideas, collaborate, teach, and learn
 through applications that seamlessly harness
 the diverse campus compute, visualization,
 storage, data, and instruments as needed
 from their personal systems (PCs) and
 interfaces (web browsers, GUIs, etc.).
    UT Grid: Develop and Provide a
       Unique, Comprehensive
The strategy of the UT Grid project is to integrate…
   – common security/authentication
   – scheduling and provisioning
   – aggregation and coordination

diverse campus resources…
   –   computational (PCs, servers, clusters)
   –   storage (Local HDs, NASes, SANs, archives)
   –   visualization (PCs, workstations, displays, projection rooms)
   –   data collections (sci/eng, social sciences, communications, etc.)
   –   instruments & sensors (CT scanners, telescopes, etc.)

from ‘personal scale’ to terascale…
   – personal laptops and desktops
   – department servers and labs
   – institutional (and national) high-end facilities
 …That Provides Maximum Opportunity
  & Capability for Impact in Research,
…into a campus cyberinfrastructure…
   –   evaluate existing grid computing technologies
   –   develop new grid technologies
   –   deploy and support appropriate technologies for production use
   –   continue evaluation, R&D on new technologies
   –   share expertise, experiences, software & techniques

that provides simple access to all resources…
   – through web portals
   – from personal desktop/laptop PCs, via custom CLIs and GUIs

to the entire community for maximum impact on
   – computational research in applications domains
   – educational programs
   – grid computing R&D
     UT Grid Approach: Leverage
  Strengths of Campus Environment
• Like any grid, campus grid must provide services to
  simplify use of distributed resources
• But
   – Focus must be to support research and/or
     education mission of the university
   – Campus grid can leverage vast numbers of PCs
     and large numbers of clusters
   – Campus grid can integrate novel scientific data
     collections and research instruments
     UT Grid Approach: Leverage
  Strengths of Campus Environment
• Important differences from multi-institution grids:
   – Staff in one location, can collaborate face-to-face
   – ‘Controlled’ network environment
   – High-end computing center can lead deployment
• Important differences from enterprise grids
   – Researchers generally more independent than in company
   – No central IT group governs researchers’ systems
   – Usage models driven by different priorities
• Important differences from domain-specific grids
   – Might require integration of wider variety of resources
   – Must support wider variety of usage models
 UT Has Massive Scale and Unique
     Deployment Environment
• ACES building is a model for a university grid
  – Massive bandwidth
  – Multidisciplinary users
  – Numerous PC, clusters, visualization systems,
    storage resources
• UT main campus + UT research campus can
  be model for multi-institution grid
  – Separated by true WAN, but UT controls paths
  – Massive bandwidth (10GigE) between campus
  – TACC controls resources on both campuses
      UT Grid Project Team Has
 Participation From Several Campus
• Additional UT Partners
   – Information Technology Services (ITS):
       • deploying Roundup clients, will include client s/w in BevoWare
   – College of Engineering IT Group:
       • deploying Roundup clients
   – Center for Instructional Technology (CIT):
       • Helped with Web site, will create education content
   – Department of Computer Sciences
       • integrating Condor flock, partnering in R&D proposals
   – Institute for Computational Engineering & Sciences (ICES):
       • integrating clusters and Condor flock
    ..and Participation Will Grow
Significantly as We Enter Production
• Additional Partners Expected in next 6 months
   – Mary Wheeler, ICES
      • integrating cluster, leading-edge user
   – Kamy Sepehrnoori, Dept of Petroleum & Geophysical Eng.
      • integrating cluster, leading-edge user
   – College of Fine Arts
      • providing Roundup clients
   – College of Communications
      • interested in storage services
   – Additional outreach through UT ‘Tech Deans’ Committee
   – Additional users through TACC User Services
             UT Grid Components
• Grid User Interfaces
   – Typical grid interface is via user portals
   – Grid User Nodes provide users with command line (shell)
     interfaces to the grid
• Grid Resources
   – Compute, storage, visualization, instruments
   – Grid software must provide security, monitoring, remote
• Grid Services
   – Authentication (GSI, MyProxy)
   – Scheduling (Condor, CSF)
   – Data management (SRB, Avaki)
            UT Grid: Current Status
• Providing compute services to users today
   – Heterogeneous set of cluster resources (LSF, PBS, LoadLeveler,
     Condor) and desktop resources (United Devices, Condor)
   – Single sign-on access via user portal
   – Allocation and support procedures
   – Resource monitoring
   – Serial and parallel job submission to clusters and desktop
   – Evaluation of scheduling technologies (Condor, CSF)
   – Evaluating workflow solutions (Pegasus)
• Basic data services
   – Reliable File Transfer tool built using GridFTP, NWS, GPIR
   – Share data across resources using Avaki data grid
   – SRB
• Visualization services coming soon
   – Remote interactive visualization, Batch rendering, Computational
     Challenges Include Scale,
Heterogeneity, Purpose, and Policies
• Usage models:
   –   research vs education (vs. administrative)
   –   ISV apps vs custom apps
   –   Interactive vs batch
   –   Serial codes vs parallel codes
   –   Etc.
• Most are locally managed
   –   Local policies and procedures
   –   Different priorities
   –   Sense of ownership
   –   Varying expertise levels of administrators
   –   Varying levels of support
  UT Grid: Approach to building the grid
• Challenge: Getting scientists to use UT Grid
  – Gain confidence that they can meet their
    computing goals and benefit from using the grid
  – Share their resources by making them available to
    other grid users
• Hub & Spoke approach rather than peer
  – Leverage existing trust relationships between
    TACC and campus research users
  – As users become comfortable with grid software,
    convince them to share their resources
           UT Grid: Logical View

•   Integrate each set of resources
    (compute, vis, storage, data)
    within TACC first

                                        TACC Compute,
                                       Vis, Storage, Data

                             (actually spread across two campuses)
           UT Grid: Logical View

•   Next add other UT
    resources using
    same tools and                TACC Compute,
                                 Vis, Storage, Data

                        ACES Cluster              ACES Data
                                       ACES PCs
           UT Grid: Logical View

                              GEO Data

•   Next add other UT
                          GEO Cluster
    resources using
    same tools and                                TACC Compute,
                                                 Vis, Storage, Data
                        GEO Cluster

                                        ACES Cluster              ACES Data
                                                       ACES PCs
           UT Grid: Logical View
                                                BIO Data     BIO Instrument

                                                                          PGE Cluster
                              GEO Data

•   Next add other UT                                                            PGE Data
                          GEO Cluster
    resources using
    same tools and                                TACC Compute,
                                                 Vis, Storage, Data
                                                                              PGE Instrument

                        GEO Cluster

                                        ACES Cluster                ACES Data
                                                       ACES PCs
             UT Grid: Logical View
                                                     BIO Data     BIO Instrument

                                                                               PGE Cluster
                                   GEO Data

                                                                                      PGE Data
                               GEO Cluster

                                                       TACC Compute,
                                                      Vis, Storage, Data
•   Finally negotiate
                                                                                   PGE Instrument
    connections            GEO Cluster
    between spokes
    for willing participants                 ACES Cluster                ACES Data
    to develop a P2P grid.                                  ACES PCs
 Accessing UT Grid: Portals vs CLIs

• Choice of portals over command line
  interfaces is not universal
  – Some researchers prefer to use their current shell
    interface to access the grid
• UT Grid supports Grid User Portals (GUPs)
  and Grid User Nodes (GUNs)
       Why Are GUPs Important?

• Lower the barrier of entry into grid computing
  – Easy access to multiple resources through a
    single interface
  – Simple GUI interface to complex grid computing
  – Present a “Virtual Organization” view of the Grid
    as a whole
          UT GUP Infrastructure

• Portal based on
  – Grid Portal Toolkit 3 (NMI component)
  – Jetspeed Portal infrastructure
• Underlying Grid Middleware
  –   Globus
  –   Community Scheduling Framework
  –   Network Weather Service
  –   Soon: Avaki, SRB
            UT GUP Capabilities

• Initial GUP capabilities include:
   – View information on resources within UT Grid,
     including status, load, jobs, queues, etc.
   – View network bandwidth and latency between
     systems, aggregate capabilities for all systems.
   – Submit user jobs and run hosted applications
   – Manage files across systems, and move/copy
     multiple files between resources with transfer time
UT Grid User Portal
Job Submission templates
Community Scheduling Framework (CSF)

• Open-source metascheduler written by Platform
   – Distributed under Globus Public License
   – Developed using GT3.0.2 and OGSI
   – Will be part of future Globus Toolkit distribution
• Schedules jobs across heterogeneous resources
   – Advanced reservation support
   – Architecture allows pluggable scheduling policies
   – Resource Manager Adapters required to convert requests to
     local resource manager.
   – Dynamic performance information stored in Global
     Information Service
       UT Grid CSF Configuration

Web Server                            CSF Server
    GT3.0                         GT3.0      GT3.0
                              Queuing          RM
  User Portal                  Service       Adapter
                                             for PBS
   GridPort                     Job
                               Service       GT3.0
                             Reservation     Adapter
                               Service       for LSF

   Queues implement
 customizable scheduling
  policies using plug-ins

                            LSF              LSF             LSF
        Why Are GUNs Important?

• Most campus users have PCs for their research &
  education projects
   – They are used to their local systems
• They also often need additional resources
   – They may want more flexibility than a portal provides
   – They need to be able to keep doing what they know, issuing
     same commands, but reaching additional resources
   – They would like access to those resources easily, even
• The Grid User Node concept is designed to provide
  these features and capabilities
       Current Linux GUN Software
Users have the option of installing software stack on
  their desktops or using “hosted” GUN.

• Linux Red Hat 9.0
• Globus 3.2.1 NMI Release 5
    – Ant v1.6.2
    – Java J2SE SDK v1.4
    – Grid Package Tools v3.2.1 NMI 5
•   GridShell (pre-release version)
•   Condor
•   United Devices SDK 4.1
    – Perl v 5.6
            What is GridShell?

• GridShell is an extension of TCSH and BASH
  – includes transparent distributed execution and
    data transfer features for intra and inter cluster
    execution of programs
  – Currently supports LSF, Condor and Globus
  – Goal is to extend services to match portal services
Grid User Node
  UT Grid: Application driven design

• UT Grid design based on user requirements
  – Initial user set has been identified
  – Monthly meetings, mailing lists
  – Interviews to understand use cases
• Initial set of application areas have compute,
  storage and visualization requirements
  – Computational Fluid Dynamics (Dr. Carey)
  – Reservoir modeling (Dr. Wheeler)
  – Flood prediction (Dr. Wells & Dr. Maidment)
              UT Grid: Education
• Training courses offered 3-4 times/year
   – Gridport (offered via Access Grid)
   – Running applications using United Devices
   – HPC training (MPI apps, tools)
• Courses offered through CS department
   – High Performance Computing for scientists (this semester)
   – Grid Computing in science and engineering (summer ‘05)
• CIT planning to provide educational content about UT
  Grid research applications
                 NMI Experiences
• TACC has benefited from using NMI
   – Easier to install & configure components
   – Better documentation & support
   – Software is more robust since it has gone through a level of
     integration testing
   – Exposure to new components (Gridsolve)
   – Working with other NMI Testbed members
• Although NMI components are fairly reliable
   – They are still evolving, and occasionally cause backward
     compatibility issues (e.g. between Globus versions 3.0.2,
     3.2, 3.2.1, and 4.0)
• NMI not a complete grid solution
   – Components do not address: scheduling, workflow,
     accounting, ….
            UT Grid Project Team
•   Jay Boisseau
•   Maytal Dahan
•   Edward Walker
•   Ashok Adiga
•   Ashesh Sahib
•   CJ Barker
•   Akhil Seth
•   David Walling
•   Eric Roberts
•   Jeff Mausolf (IBM)
•   Nina Wilner (IBM)
Texas Advanced Computing Center
          (512) 475-9411

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