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Stream Processing for Computer Generated Forces

Kickoff Meeting

Maria BauerRDECOM-STTC

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Agenda

Project Summary Technical Information Team Members and Roles Schedule Deliverables Information needed Communication Upcoming Events

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Project Summary – GPU Research

Customer: DARPA

User: PM OneSAF

Contract Type: Cost

Period of Performance: 3/18/2004 – 12/18/2005

Subcontractor SAIC

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Technical Information - SOW Description

Statement of Work (SOW) UNC shall develop new algorithms for real-time path and route planning

in complex terrain and urban environments. UNC shall develop GPU-based visibility and line-of-sight (LOS)

computations for real-time interaction and communication between very large numbers of entities (thousands).

UNC shall develop GPU-based real-time collision detection for terrain simulation.

UNC shall leverage early PCA program developments, including streaming architecture and streaming languages (e.g. Brook developed at Stanford)

Developed algorithms shall be integrated with the OneSAF Objective System (OOS).

UNC shall develop software libraries that can be distributed freely to DOD labs and also used for other applications.

UNC shall deliver quarterly management reports. Each report shall cover progress attained during the reporting period, contract funds expended and contract funds remaining.

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Team Members

Dinesh Manocha (UNC Chapel Hill) Ming C. Lin (UNC Chapel Hill) Michael Macedonia (PEO STRI) Maria Bauer (RDECOM) Audrey Rubel (RDECOM) Latika Eifert (RDECOM) Angel Rodriguez (RDECOM) Brett Butler (SAIC) Pat Hanrahan (Stanford)

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Program Players and Roles

Task I: Use of GPUs to speed-up OneSAF computations Algorithm Development: UNC Experiment Design and Data Collection Plan: UNC/SAIC Integrate in OneSAF: UNC/SAIC Test & Performance Analysis:UNC/SAIC Final Report: UNC

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Program Players and Roles

Task II: Use of Streaming Languages & Architectures for OneSAF Computation Development & Delivery of Brook: Stanford Redesign visibility, collision avoidance and route planning

algorithms using Brook: UNC/Stanford OneSAF performance Evaluation using Brook: UNC/Stanford/SAIC Evaluating Brook and Streaming Architectures for Computer-

Generated Forces: UNC/Stanford/SAIC Final Report: UNC/Stanford

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Deliverables

Initial Report Report on experiment design and data collection plan Due 6 months after contract award

Mid Report Detailed architecture of integrating routines into OOS. Performance of line-of-

sight and collision computations using GPU’s Information regarding progress of language development for GPU’s Due 12 months after contract award

Final Report: Will document the comparison of performance between the traditional (OOS)

CPU centric solution versus a GPU centric solution for the terrain placement, collision detection and LOS services

The final report will contain all information regarding use of Brook for CGF application

Due 30 days before the end of the contract

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Schedule

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Schedule

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Upcoming Events

GP2: Workshop on General Purpose computing on Graphics Processors August 7-8, 2004, Los Angeles Participants from computer graphics, computer

architecture, simulation, high performance computing

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Questions?