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COMMMONWEALTH OF AUSTRALIA Do not remove this notice.

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Presentation on theme: "COMMMONWEALTH OF AUSTRALIA Do not remove this notice."— Presentation transcript:

1 COMMMONWEALTH OF AUSTRALIA Do not remove this notice.
Copyright Notice Do not remove this notice. COMMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 WARNING This material has been produced and communicated to you by or on behalf of the University of South Australia pursuant to Part VB of the Copyright Act 1968 (the Act). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by you may be the subject of copyright protection under the Act. Do not remove this notice.

2 Outline Motivation and Introduction Problem description Our approach Results and Conclusion

3 Motivation DPR in UAVs (power saving) Complex applications Swarm (multiple FPGAs) Problem definition (How do you develop adaptive applications in this scenario – so that they can migrate from one platform to another – need for a high level abstraction/support/framework; maintaining the parallism – mapping issues)

4 Motivation UAVs Swarm of UAVs Limited power
complex signal / image processing applications FPGAs Swarm of UAVs Constant surveillance – xx days Cooperative applications: tracking, geo-referencing, bush fire monitoring Can we do distributed computing with multiple FPGAs? Migrating applications – dying UAV Larger application – distribute it in the Swarm

5 Motivation New App – lack of computational resources
Mobility of Reconfigurable Applications If one UAV fails Can the state of a FPGA be migrated during runtime? New App – lack of computational resources Distribute over a network of FPGAs UAV – 1 (FPGA) New App UAV – 2 (FPGA)

6 Module based design of hardware – single platform ReconfigME
Introduction Module based design of hardware – single platform ReconfigME Platform dependency (like the slot machines – hard to develop application in true module based fashion – need a standardization for module reusability) Module based development is hindered because – state saving problem and inter module data dependencies

7 Background Hardware modules Dynamic Reconfiguration
App Hardware modules Independent Reusable Third party Dynamic Reconfiguration Slot based ReconfigME Adaptive applications Swapping of modules during runtime Detection / Tracking Netlist ReconfigME

8 Application Development
1 – D and 2 – D reconfigurable framework exists Runtime placement and routing Not in the application development level Application development is difficult Need to be have core hardware knowledge Even when third party modules are available; developers need to worry about state saving Inter module communication More complicated with multiple FPGAs Need a higher level simple model

9 Kahn Process Network - KPN
Benefits Suitability with this scenario Limitations (unlimited buffers, limiting will bring local deadlock – but application developers can restrict the nature of the graphs – hence a more restricted KPN)

10 Details of the UAV platform
Lot of RAM if the buffering exceeds it can be done in software

11 Agent-based KPN nodes The KPN nodes are treated as agents Benefits – mapping problem solved Rule based agents – migrate from one platform to another – hence an application will have autonomous KPN nodes distributed in the UAV swarm – brings high adaptability Task migration from one platform to another Failure detection

12 At the side give a brief description of ReconfigME An overall diagram
Overall Model At the side give a brief description of ReconfigME An overall diagram

13 Results The blob tracking results – make sure this example is used through out the slide if possible

14 Discussion The work represents a first try, yeat to be tested on a highly resourceful platform – speed, but can be improved on faster boards, custom designed high speed RF modems Future work – the agents to be built as hardware and more work on fault tolerance.

15 Can we bring a standardization to the state saving problem ?
Conclusion How to use a network of geographically separated FPGAs for streaming applications ? Can we bring a standardization to the state saving problem ? How to map applications over a number of FPGAs ?


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