High Performance Computing Update 0908 -InCOSE

8/11/2019 High Performance Computing Update 0908 -InCOSE

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High Performance Computingat

UCF

Brian Goldiez, Ph.D.

[email protected], 2008


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Background

Directed Federal Program Funded for 2 years

Maximize Campus Participation

Competitive Procurement (7 Bids) IBM Selected Machine Named STOKES

After Sir George Gabriel Stokes (Mathematician & Physicist)

Participate in the HPC Community SURAgrid Supercomputer Conference


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UCF Objectives

Support Scientific Exploration & Interaction Science Based M&S Human Centered M&S

Synergies Between the Above Build a Diverse Community of Users Increase System Capabilities

Increase Research Scope & Funding Attract External Faculty & Users Become Self Sufficient in 2010


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Current Management Approach Research Computing is a Specialize Field Research Computing Needs to be Professionally Managed (e.g. GSU,

Purdue) We Have Some Unique Opportunities

Interaction in HPC Real Time Storm Effects on Coastal Areas Crowd Modeling Games (Serious & Entertainment)

UCF Can Become a Major Player and Be Viable for Funding Recommendations:

UCF Centrally Facilitate/Manage Research Computing for Improved Efficiency &Use of Resources

UCF Designate a Person to Become Active in SURA HPC Group & Work WithCampus Entities on Rsch Computing Use Existing Grant Resources to Fund the Initial Effort Plan for University & External Support and Growth over the Next 3 Years


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Stokes Current Capabilities Current System

(90% Utilized) Processor, Xeon 3 GHz,

64b ~2.2 Tflops 240 Cores

4 Visualization Nodes 528 GB Memory 22+ TB Storage O/S RHEL 5.0

Interconnect IB 20Gbps GigE

NFS ~220MB/s

Expanded System Processor, Xeon 3 GHz,

64b ~6.4 Tflops 648 Cores

4 Visualization Nodes 1.424 TB Memory 42+ TB Storage O/S RHEL 5.1 Interconnect

IB 20Gbps GigE GPFS w/RDMA ~500 MB/s


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Usage Groupings Science Based M&S

Usage Nano Technology Civil Engineering

Physics Batch Processing Existing Programs (e.g.,

MatLab)

New Data Large Runs Segue to Larger Systems

Human Centered M&SUsage IST Army

Partnering Industry Interactive

Human in the Loop Modeling Human Activity

Multi-modal I/O Multi-user No Existing HPC

Programs or Data


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Interactive Simulation Needs

Real time capability using fast processors and high-speed interconnects High fidelity Low latency/High bandwidth interconnects Real time I/O Connection to real world assets Fixed frame rates (some apps)

Strategies Message Passing Interface (MPI) or Scalable Link Interface (SLI) Ltd shared memory processing (SMP) or distributed processing

Interfaces with sensory processors (e.g., interactive visualization,haptics, )

Scalability in terms of HPC architecture and simulation entities


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Other Considerations

Lets remember the human factor How will a user interact with an HPC? How will multiple users interact with an HPC &

maintain coherence of I/O? How will interim results be gathered? How can timely and relevant HF experiments

be developed to influence the design? Get developers involved


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Current Users IST Physics Mathematics Chemistry Nanoscience Civil Engr Mech. Engr Industrial Engr Electrical & Computer

Engr CREOL

SAIC Forterra


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Current Human Centered M&SResearch

Apparent Parallelizable Systems (SAF/Games) Approaches to Parallelization Spatial & Temporal Coherency

Performance Assessment & Optimization Interactive & Visualization

Review Lit in Sci Vis & Comp Steering Leverage Existing Software (e.g., OLIVE, DCV) Consider & Baseline Different Approaches

LVC Modeling


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Possible Areas of Future Research

Multi-core Programming for M&S Applications Tight Timing Constraints Low Latency I/O Bound

Use of Cell Processor for M&S Multi-World Systems LVC Implementations/Experimentation Terrain Correlation Granular Propagation Mitigation Methods Multi-scale Simulations Benchmarks De-coupling SAF Models ????


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Issues

Facilities Power & Cooling Infrastructure

Obsolescence Parallel Programming Long Term Support

State Funding? Other Sources?


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Back Up Charts


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High Performance Computing for SimulationTraining Systems

Purpose1. Enhance the Universitys facilities in the area of HPCC

systems2. Support faculty research for parallel simulation of complex

scientific data in the areas of Physics, Chemistry, Civil andNano-technology

3. Study large scale interactive simulations that require real-time processing of hundreds of entities on complex terraindatabases

4. Support RDECOM research on gaming and training systemdevelopment such as OneSAF

Benefits to the Army1. Establish a capability to address M&S relevant issues in

Multi-scale simulation, interactivity and visualization.2. Offer a unique opportunity to synthesize the research efforts

of the various departments at the University by facilitating ashared high performance computing infrastructure

Federal and Private Endorsements1. Project funded and supported by RDECOM and PEO-STRI2. Association with national super-computing grids such as

Southeastern Universities Research Association (SURA)3. Collaboration with private companies like Forterra systems

Deliverables

1. HPCC computing platform with quad-coreprocessors, 4GB memory, 10 TB storage,high-speed interconnect and graphicscapabilities.

2. Scientific studies on using HPC in interactiveM&S


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The Top 10 MachinesNovember 2007

Rmax is in TeraFLOPS = One Trillion (10 12) Floating Point Operations per second


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Projected Top 500 computing power


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Areas for Investigation Extents of single image environments Terrain/Environment

Interacting entities

Live, virtual, constructive experimentation Scalable simulations

Multi-scale simulations Control of propagating granularity

HPC architectures for interaction Map HPC types to applications

Techniques for porting interactive applications to HPCplatforms Tools for interaction

High Performance Computing Update 0908 -InCOSE

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