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Building Cad Prototyping Tool for Emerging Nanoscale Fabrics

Building Cad Prototyping Tool for Emerging Nanoscale Fabrics. Catherine Dezan ( dezan@univ-brest.fr ). Joined work between Lester( France ) and UMASS( USA ). Université de Bretagne Occidentale(LESTER, CNRS) Catherine Dezan Loic Lagadec. University of Massachusetts at Amherst

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Building Cad Prototyping Tool for Emerging Nanoscale Fabrics

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  1. Building Cad Prototyping Tool for Emerging Nanoscale Fabrics Catherine Dezan (dezan@univ-brest.fr) Joined work between Lester(France) and UMASS(USA)

  2. Université de Bretagne Occidentale(LESTER, CNRS) Catherine Dezan Loic Lagadec University of Massachusetts at Amherst Michael Leuchtenburg, Teng Wang, Pritish Narayanan, Andras Moritz Contributors:

  3. Motivation • Bottom-up strategies -> more defective (10-9 to 10-7 failure rate in CMOS technology, 10-2to 10-1 failure rate in emerging nanotechnologies) -> CAD tool should take this into account • Evolutive nanofabrics (Semiconductor Nanowire -> Carbone Nanotube) needs generic CAD tool for a quick adaptation

  4. Outline of the talk • Defective Hybrid Nanofabrics • Proposal of prototyping tool based on Nanofabric specification • Design flow • Models for Nanofabric Specification • Transformations based on Nanofabric models • Fault-tolerant transformations • Conclusion

  5. Emerging Nanofabrics Our references to nanofabrics, based on progress of Semiconductor Nanowire manufacturing [Lieber2007] are hybrid CMOS/Nano fabrics: NASIC[Moritz 2004], NanoPla[Dehon2005], CMOL[Likharev2005], FPNI[Snider2007] Possible manufacturing procedures (demonstrated for every step, but not yet the whole process)

  6. Existing CAD tools are specific • These nanofabrics propose a range of test applications on their nano support Ex: microprocessor (NASIC), Neuromorphic networks(CMOL), general purpose • Each specific fabric proposes its specific CAD tools: Ex:CMOL FPGA compiler, FPNI compiler, NanoPla CAD

  7. Towards a generic prototyping CAD tool Main features: • Generic CAD tool: not specific CAD tool adapted to a single Nanofabric • Based on Nanofabric Specification through models • Design flow from behavioral description towards symbolic layout • Fault-tolerant transformations

  8. Nanofabrics Specification through models Abstractions of some nanofabric mechanism Computational model Architectural model Technological model Fault model

  9. Computational and Architectural models • Workshare between • nano • Interconnect(FPNI), Interconnect +computation (NanoPla,CMOL,NASIC) and its organization(2 or multi-level logic) • CMOS • I/O, specific gate(inv), control Structural and hierarchical organization of building components in tiles

  10. Technological and Fault models Physical constraints for place-and-route routines: • doping constraints (NASIC) • Connection constraints for reconfigurable fabric • Defect map • Fault types with distribution (uniform/cluster) and rates: • permanent defects(manufacturing process), stuck-on,stuck-off transistor, broken nanowire • Transient faults (internal noise, particle impact, ..) • Process variation(channel length, doping, wire thickness)

  11. (1) (2) (3)

  12. Behavioral transformations(1) In addition to classical high-level transformations, we take into account: • pre-partionning for Nano/CMOS transformation (according to the computational model) • fault-tolerant transformations(adding voting spec, Error correcting codes, transfert in CMOS) (according to fault model)

  13. Case study of NASIC fabric(1) Computational model: CMOS limited for control signal, computation with 2 level logic Fault-tolerant transformation: Data encoded in BCH codes in order to build redundant logic (Hamming distance related to fault rate) 4bits -> 7bits with BCH(7,4,1) Fault model: permanent, transient, uniform/cluster Rebuild computation DAG

  14. Synthesis and structural transformations(2) • Synthesis with an external tool (SIS,ABC) directives are produced by the computational model and architectural model (ex: 2 level logic -> pla synthesis) • Structural transformations to add specific circuitry (decodeur for I/O, signal restoration , additional CMOS circuitry..) related to the architectural model • Fault-tolerant transformations based on the structural representation of the application: structural copies defined at fine grain or coarse grain( using voters- in CMOS) related to fault model

  15. Example of fault-tolerant transformations at structural level (2) Architectural model: 2D grid with FET, microwires around tiles External tool for logic synthesis (SIS, ABC) S=f(x,y,z) and’ x s Fault tolerant transformation:structural redundancy at fine grain y and z pla or or’

  16. Yield projection(2) Fault-tolerant techniques produce different yield related to fault rate, types of fault and distribution -> need of iterations in flow design Integration of the yield simulator for NASIC

  17. Physical design (3) Transformations at this level include partitioning, placement and routing onto the nanofabric: • Reconfigurable fabrics have congestion problem for place-and-route due to the restriction of connections(adaptation of pathfinder algorithm is appropriate - feasibility proved with our previous experiment on FPGA CAD tool) • Generic heuristics like simulated annealing, clustering may be suitable for placement into tiles and between tiles -> custom adaptation is made using the technological model Possibility to add new custom routines to achieve better results

  18. Symbolic layout for NASIC(3) Place-and-route routines with fixed size of tiles Technological model: Doping constraints Program Counter + Rom + decoder Register file + Alu

  19. Conclusion • Proposal of a generic tool based on Nanofabric Specification • Proposal of adequate models correlated to transformations • One instance based on NASIC fabric was developped

  20. Future investigations • Investigating on more detailed models and their automatic integration in the generic framework • Adding more fault-tolerant transformations and hybrid fabric related transformations (probabilistic computation and synthesis?) • More case studies to consolidate and validate the framework dezan@univ-brest.fr

  21. Thanks Catherine.Dezan@univ-brest.fr

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