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Jeremy Ramos Advanced Processing Systems Honeywell Inc. Clearwater, FL

A Case Study in HW/SW Codesign and RC Project Risk Management: The Honeywell Reconfigurable Space Computer (HRSC). Jeremy Ramos Advanced Processing Systems Honeywell Inc. Clearwater, FL. Ian Troxel HCS Research Laboratory University of Florida Gainesville, FL. Outline. Introduction

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Jeremy Ramos Advanced Processing Systems Honeywell Inc. Clearwater, FL

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  1. A Case Study in HW/SW Codesign and RC Project Risk Management: The Honeywell Reconfigurable Space Computer (HRSC) Jeremy Ramos Advanced Processing Systems Honeywell Inc. Clearwater, FL Ian Troxel HCS Research Laboratory University of Florida Gainesville, FL

  2. Outline • Introduction • Motivation • Project Overview • HRSC System Design • Project Description • Lessons Learned • Conclusions

  3. Sample-Level Signal Processing High-Level Logic Operations Frame-Level Signal Processing Sensor Array Time Dependent Processing TDP Mission Dependent Processing MDP Object Dependent Processing ODP Telemetry DATA RATES Algorithm Complexity/Abstraction TDP ODP MDP On-board High-Performance Computing Need • Increased data requirements for space stress downlink bandwidth limits • Hyperspectral imaging and Space Based Radar • Large sensors producing data at rates on the order of 50 to 100 Gbits/s • On-board high-performance computing system one proposed solution • >1000 MOPS per processor node • Small form factor ~6Ux220mm modules • Highly efficient >300MOPS/Watt • Satellite processing challenges and benefits • Develop a scalable and adaptable architecture for multiple missions and processing needs • Develop tools and software to support the deployment of applications on such a system • Leverage high-performance COTS technology, including RC, to reduce NRE and time to market Reconfigurable Computing (RC) ideal for payload processing

  4. On-board Reconfigurable Computing • RC a key enabler for Honeywell’s Next Generation Payloads • For select algorithms, RC provides orders of magnitude higher efficiency (MOPS/Watt), computing capacity (MOPS), and IO bandwidth over microprocessors • Key RC benefits • Potential to reduce NRE • Replacing small ASICs with radiation tolerant Virtex devices • Reusing adaptive systems for future projects • Reduce Cycle Time • Provides reusable module with pre-integrated programmable SEU mitigation • FPGA modules can be reused • Reduce Risk • Flexibility enables onboard-repairability and degraded mode capability • Hardware fixes and application upgrades can be made in flight via uploads • Increase Capabilities • Timesharing of hardware by varying mission applications and modes • Reduced size, weight, & power (fewer processors and ASICs) • Key RC challenges • No common or standard architectures, runtime software, interfaces, etc. • No hardware available for space • Design methodologies not as mature as microprocessors Many challenges must be overcome to take RC to space

  5. On-board Reconfigurable Computing Challenge • Numerous problems to be overcome • Rad-Hard Design Considerations • Programming Model • Power Issues • Non-Recurring Engineering (NRE) • New Technology • Less Mature • Learning Curve • Integrating With Legacy Code and Systems • Fear of Change • Cost Effectiveness of Technology Only Demonstrated on Selected High-End Projects • Potential for High Degree of Project Risk • Need a Proof of Concept System and Algorithm Honeywell accepted the RC challenge

  6. Honeywell RC Project • The goal of Honeywell’s RC effort is to produce high-performance reconfigurable computers for onboard processing • Develop a proof-of-concept RC board for space imaging applications with a path to flight • Provide a path to integration with other common satellite boards, backplanes and services • Keep costs minimal • Incorporate maximum flexibility and performance • Build a framework and strategy for minimizing problems RC flexibility creates for future applications • Reduce total project risk and cost by designing hardware and software components with a mind for reuse and in a priority order • The RC system is targeted to support front-end and back-end digital signal processing needs for advanced space-borne processing programs like SBR, TCS, NPOESS, and several NASA missions. • Architectures optimized for space applications • Use COTS Xilinx FPGAs to reduce cost with built in SEU mitigation • Development tools and System Software pre-integrated The development of a prototype was identified as the first objective

  7. Project Overview • Your mission, should you choose to accept… • Project parameters (thou shalt…) • Produce prototype board with path to flight in one year • Board must interoperate with current product line • Contain no less than two FPGAs • Provide processing flexibility within and between boards • Support several example applications (e.g. imaging, compression) at full data size and rate specification • Fit within a cPCI 6U form factor • Provide for future radiation tolerance and mitigation • Consume less than 40 Watts per board

  8. Honeywell Reconfigurable Space Computer • 2 Adaptive Processing Cells • Overall architecture has numerous non-contentious data paths and is optimized for throughput • Configuration Manager • Supports 2 PEs concurrently • Configuration memory SEU mitigation is built in • Configuration cache included • Interrupt handler • User IO • Programmable PE and interface clocks • Network Interface • Configurable interface for prototyping via Virtex II 2000 • Common and generic interface to PEs and memory • PMCs provided COTS card interfaces for fast integration • cPCI standard selected as control plane interface to Configuration Manager • Software • Development tools and System Software pre-integrated Developing the HRSC prototype was real challenge

  9. Project Timeline • Accelerated project schedule • From concept to working board in one year • Relatively small project team • 3 full time engineers until February 28th • 5 FTE (with 7 engineers) after March 1st Many lessons learned along the way…

  10. Recipe for Success • Project savings • Cost in raw $ and time saved in development and testing by hw/sw codesign to catch integration bugs early in the process • Reduction in overall project risk by following a priority-based spiral development process • Large reduction in Non-Recurring Engineering for the RC design by creating standard interfaces and APIs upon which all applications are built (creates a measure of stability in a highly flexible design space to reduce custom work) • Kept design process streamlined with a small design team and light documentation by fixing interface specifications so future projects can focus on application development

  11. Recipe for Success: HW/SW Codesign • Didn’t wait for board to develop, test and verify hardware interfaces, VHDL, API software and applications • FPGA and board design in simulation provided a testbench for API, application and control VHDL/C • Modelsim development environment • PCI flex models from Synopsis increased productivity • Integration testing made simple • cPCI chassis and an Alpha-Data ADM-XRC FPGA board created an emulation environment to further test the API • Low-level testing fully selectable between simulation, emulation and real board when prototyping applications

  12. Recipe for Success: Spiral Development Single Process Iteration Complete Process Diagram • Spiral development process reduces risk • Coding requirements organized in order of priority • Iterations move design closer to the final system as functionality is added in order of priority • Iterations (after the first one) move system from a working design to another working design • Each step within subsequent process iterations tend to take less time as experience gained • When process complete, system is fully integrated and tested • Gives project manager simple way to assess reduction in project risk and increase in project functionality over time • Valuable tool to for performing risk-return and cost-benefit analysis

  13. Recipe for Success: Minimize NRE Memory PMC interface Inter PE User’s Design User’s Design cPCI interface Standard interfaces • Minimizing NRE reduces RC project risk (especially future projects) • Standard interfaces between all components reduces future development effort (tradeoff flexibility for ease of development) • Future users can concentrate on their design • Test and demo application development paralleled code development to identify features future users will need • Incorporated future user’s needs early in process by acting as our own customer

  14. Recipe for Success: Project Team • Cooperative team environment • Small, flexible design team • High degree of interaction • Clear vision and motivation • Streamlined documentation process • Documentation kept to a minimum • Application developers needs drove the process • Focused on application notes rather than traditional specifications

  15. Successful Project Outcome • Board produced within budget and on time • Board running and passed test within 2 days • API and board support code all worked on first boot • Demo app. running in 3 weeks (delay due to board production problems from outside manufacturer) • FPGA interfaces developed for future projects • Simulation / Emulation / Prototype environments developed and synchronized for future applications

  16. Conclusions • Developed prototype, proof-of-concept RC board for space imaging applications with a path to flight • Project completed within budget, time and performance constraints • Expanded RC development knowledge base through lessons learned • Created framework and strategy for minimizing RC flexibility and project risk for future applications • Several future projects are including the board in their designs

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