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Advancements in Specialized Virtual Configurable Arrays for HPC Applications

This presentation by Dominique Lavenier and Frederic Raimbault discusses Specialized Virtual Configurable Arrays (SVCA) as a method for efficiently addressing high-performance computing tasks such as genome computation and hyperspectral image processing. The talk invites feedback and collaboration, focusing on the implementation and advantages of these adaptable hardware solutions. Key points include architecture independence, fast implementation, and the promised portability across FPGA boards, alongside challenges such as limited resources and slower speeds.

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Advancements in Specialized Virtual Configurable Arrays for HPC Applications

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  1. Specialized Virtual Configurable Arrays Dominique Lavenier - Frederic Raimbault IRISA Rennes, France lavenier@irisa.fr UBS Vannes, France raimbault@univ-ubs.fr

  2. SVCASpecialized Virtual Configurable Arrays • Warning • Just ideas - no work (yet) performed • The talk mainly aims to • get feedback - positive or negative ! • open discussion / collaborations ?

  3. Overview • Introduction • exemplified from F. Raimbault talk • Virtual Configurable Arrays • implementation - Advantages / Disadvantages • Specialized Virtual Configurable Arrays • 2 examples : Genome / hyperspectral images • Conclusion

  4. FPGA support for Java network hardware support: any reconfigurable boards PC Hardware JAVA machine • Boards are different • architecture • FPGA family • power computation • We want to define a hardware support • independent of the FPGA boards • allowing fast implementation

  5. Architecture CTRL PE PE PE • Nb of PEs • PE functionality Application dependant

  6. Java Hardware Support • We want an hardware support with the following features: • platform independent • all FPGA boards can be targeted • fast implementation • depending on the application and the available resources, an architecture must be synthesize in a very short time

  7. Challenge • The hardware support must provide: • A platform independent hardware • A fast design implementation Virtual Configurable Array Specialization

  8. Virtual Configurable ArrayIntroduction Fixe implementation (Application independent) Virtual Configurable Array Application dependent implementation

  9. Virtual Configurable Array Implementation (1) • Virtual CLBs • one virtual CLB is made of several physical CLBs

  10. Virtual Configurable Array Implementation (2) • Routing • physical CLBs are used as switches

  11. Virtual Configurable Arrays • Advantages • applications are portables • common design tools - open architecture • Disadvantages • less resources / lower speed (how much ?) • no concept evolution • still the same problems for programming, routing, ...

  12. Virtual Configurable Arrays • Platform independent • Fast implementation YES NO

  13. Specialized Virtual Configurable ArraysIntroduction CLB functionality CLB interconnection Specialization of Virtual Configurable Arrays

  14. 2 Examples • Genome Computation • Hyperspectral image processing

  15. Genome Computation • Data • DNA or Protein sequences • large databases • Computation • data retrieval, classification, ... • mostly based on sequence comparison • time consuming but highly parallel

  16. Genome Computation • Needs: • high computation power • rapid test of new algorithms • Features: • integer arithmetic • 8,12,16 bits - no multiplication • efficient parallelization on linear arrays

  17. Specialized Virtual Configurable Array for Genome Computation • Regular Routing • N-bit wires • CLB: • N-bit operators

  18. VCLB VCLB i n-bit operator (32 operations) routing switch to i-1 to i-2 to i-3 from i-1 from i-2 from i-3 from i+3 from i+2 from i+1 to i+3 to i+2 to i+1 configuration memories CM CM CM 7 bits 7 bits 5 bits

  19. Hyperspectral images processing A few hundred spectrum • Data • 3D cube • one image = qq 100 Mbytes • Computation • compression, segmentation, … • very time consuming, but high level of parallelsim

  20. HyperSpectral Image Processing • Needs: • high computation power • rapid test of new algorithms • Features: • integer arithmetic • efficient parallelization on 2D arrays

  21. Specialized Virtual Configurable Array for Hyperspectral Image Processing Memory VCLB Routing

  22. Specialized Virtual Configurable ArrayConclusion Architecture SVCA FPGA

  23. Specialized Virtual Configurable ArraysConclusion • One SVCA class of algorithms • Advantages • platform independent - fast programming • Disadvantages • small array - slow

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