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CSC 6001 VLSI CAD (Physical Design)

CSC 6001 VLSI CAD (Physical Design). January 19 2006. Contents. An overview of CAD in physical design of VLSI circuits Discussion of several classical papers in this area. References.

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CSC 6001 VLSI CAD (Physical Design)

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  1. CSC 6001VLSI CAD (Physical Design) January 19 2006

  2. Contents • An overview of CAD in physical design of VLSI circuits • Discussion of several classical papers in this area.

  3. References • N. Sherwani, “Algorithms for VLSI Physical Design Automation”, 3rd edition, Kluwer Academic Publishers, Boston, MA, 1999. • Sabih H. Gerez, “Algorithms for VLSI Design Automation”, Wiley, 1999. • M. Sarrafzadeh and C.K. Wong, “An Introduction to VLSI Physical Design”, McGraw Hill, 1996. • S.M. Sait and Youssef, “VLSI Physical Design Automation: Theory and Practice”, IEEE Press, Piscataway, NJ, 1995.

  4. VLSI Design Cycle System Specification Circuit Design Architectural Design Physical Design Functional Design Fabrication Logic Design Packaging

  5. Logic Design • Design the logic, e.g., boolean expressions, control flow, word width, register allocation, etc. The outcome is called an RTL (Register Transfer Level) description. RTL is expressed in a HDL (Hardware Description Language), e.g., VHDL and Verilog. X = (AB+CD)(E+F) Y= (A(B+C) + Z + D)

  6. Circuit Design • Design the circuit including gates, transistors, interconnects, etc. The outcome is called a netlist.

  7. Physical Design • Convert the netlist into a geometric representation. The outcome is called a layout.

  8. Physical Design Cycle Circuit Partitioning Floorplanning & Placement Routing Layout Compaction Extraction and Verification

  9. Circuit Partitioning • Partition a large circuit into sub-circuits (called blocks). Factors like #blocks, block sizes, interconnection between blocks, etc., are considered. 1 3 2

  10. Floorplanning • Set up a plan for a good layout. Place the modules (modules can be blocks, functional units, etc.) at an early stage when details like shape, area, I/O pin positions of the modules, …, are not yet fixed. Deadspace

  11. Placement • Exact placement of the modules (modules can be gates, standard cells, etc.) when details of the module design are known. The goal is to minimize the delay, total area and interconnect cost. Feedthrough Standard cell type 1 Standard cell type 2 v

  12. Routing • Complete the interconnections between modules. Factors like critical path, clock skew, wire spacing, etc., are considered. Include global routing and detailed routing. Feedthrough Type 1 standard cel1 v Type 2 standard cell

  13. Compaction & Verification • Compaction is to compress the layout from all directions to minimize the total chip area. • Verification is to check the correctness of the layout. Include DRC (Design Rule Checking), circuit extraction (generate a circuit from the layout to compare with the original netlist), performance verification (extract geometric information to compute resistance, capacitance, delay, etc.)

  14. Design Styles • Full-Custom Design • Standard Cell Design • Gate Array Design • Field Programmable Gate Array Design (FPGA)

  15. Full-Custom Design • No rigid restrictions on layout. • More compact design. • Longer design time. • Hierarchical: chip  clusters  units  functional units.

  16. Full Custom Design

  17. Standard Cell Design • Rectangular cells of the same height. • Cell library (has 500 - 1200 cells). • Cells placed in rows and space between rolls are called channels for routing. • Feedthroughs

  18. Standard Cell Design

  19. Gate Array Design • Each chip is prefabricated with an array of identical gates or cells. • The chip is “customized” by fabricating routing layers on top.

  20. An Uncommitted Gate Array

  21. A Committed Gate Array

  22. Field Programmable Gate Array • Chips are prefabricated with logic blocks and interconnects. • Logic and interconnects can be programmed (erased and re-programmed) by users. No fabrication is needed. • Interconnects are predefined wire segments of fixed lengths with switches in between.

  23. Field Programmable Gate Array

  24. Trends in VLSI • Transistor • Smaller, faster, use less power • Interconnect • Less resistive, faster, longer (denser design) • Huge power consumption and heat dissipation • Noise and cross talk.

  25. Interconnect Delay 40 Gate delay 35 Interconnect delay 30 25 20 15 10 5 0 0.65 1989 0.5 1992 0.35 1995 0.25 1998 0.18 2001 0.13 2004 0.1 2007 Source: SIA Roadmap 1997

  26. Chip Area micron

  27. Processor Performance MIPS 1000,000 100,000 100,000 MIPS 10,000 1,000 Pentium Pro Processor 100 Pentium Processor 80486 Processor 10 80386 Processor 1 80286 8086 0.1 75 80 85 90 95 00 05 10 15 Source: Intel

  28. Transistor Count K 1,000,000 100,000 10,000 1,000 100 10 1 1975 1980 1985 1990 1995 2000 2005 2010 2015 Projected Source: Intel

  29. Average Transistor Price $ 100 10 1 0.1 0.01 0.001 0.0001 0.00001 0.000001 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 Source: Intel

  30. Technology Characteristics Year 1999 2001 2003 2006 2009 2012 Technology (m) 0.18 0.15 0.13 0.1 0.07 0.05 Density (# transistors / cm2) 6.2M 10M 18M 39M 84M 180M Chip size (cm2) 3.40 3.85 4.30 5.20 6.20 7.50 Power (W) 1250 1500 2100 3500 6000 10000 # Routing Layers 6-7 7 7 7-8 8-9 9

  31. Selected Papers • “Graph Based Algorithms for Boolean Function Manipulation”, Randal E. Bryant, IEEE Transactions on Computers, Vol.35, No.8, 1986. • “Retiming Synchronous Circuitry”, Charles E. Leiserson and James B. Saxe, Algorithmica, 6:5-35, 1991. • “A New Algorithm for Floorplan Design”, D.F. Wong and C.L. Liu, Design Automation Conference, p.101-107, 1986. • “Rectangle-Packing-Based Module Placement”, H. Murata, K. Fujiyoushi, S. Nakatake and Y. Kajitani, IEEE International Conference on Computer-Aided Design, p.472-479, 1995.

  32. Selected Papers • “A linear time heuristic for improving network partitions”, Fiduccia and Mattheyses, Design Automation Conference, 1982. • “Efficient Network Flow Based Min-Cut Balance Partitioning”, Hannah H. Yang and D.F. Wong, International Conference on Computer-Aided Design, pp.50-55, 1994. • “Multilevel k-way Hypergraph Partitioning”, G. Karypis and V. Kumar, Design Automation Conference, pp.344-347, 1999.

  33. Selected Papers • “An Optimal Technology Mapping Algorithm for Delay Optimization in Lookup-Table Based FPGA Designs”, Jason Cong and Yuzheng Ding, International Conference on Computer-Aided Design, 1992. • “The Timberwolf Placement and Routing Package”, C. Sechen and A.L. Sangiovanni-Vincentelli, IEEE Journal of Solid-State Circuits, 20:510-522, 1985. • “Gordian: A New Global Optimization/Rectangle Dissection Method for Cell Placement”, J. Kleinhans, G. Sigl and F. Johannes, International Conference on Computer-Aided Design, 1994.

  34. Floorplanning

  35. Floorplanning • The floorplanning problem is to plan the positions and shapes of the modules at the beginning of the design cycle to optimize the circuit performance: • Chip area • Total wirelength • Delay of critical path • Routability • Others, e.g., noise, heat dissipation, etc.

  36. Floorplanning Problem • Input: • n Blocks with areas A1, ... , An • Bounds ri and si on the aspect ratio of block Bi • Output: • Coordinates (xi, yi), width wi and height hi for each block such that hi wi = Ai and ri hi/wi si • Objective: • To optimize the circuit performance.

  37. Simulated Annealing Approach • Many floorplanning tools are based on simulated annealing approach. • In simulated annealing, we need to have a good representation for each candidate floorplan solution. • There are three kinds of floorplan: slicing, mosaic and non-slicing.

  38. P-admissible Representation A packing representation is P-admissible if: • The solution space is finite. • Every solution corresponds to a feasible packing. • Evaluation for each solution, i.e., computing the cost value, is possible in polynomial time, and so is the realization of the corresponding packing. • The optimal packing is included in the solution space and corresponds to the one with the best evaluated cost value.

  39. Non-Slicing Floorplan • Any general floorplan which is not necessarily obtained by recursively subdividing rectangles. empty room

  40. Slicing Floorplan Representation • “A New Algorithm for Floorplan Design”, D.F. Wong and C.L. Liu, Design Automation Conference, pp.101-107, 1986.

  41. Slicing Floorplan • A floorplan that can be obtained by recursively cutting a rectangle into two by either a vertical line or a horizontal line:

  42. Slicing Trees Slicing Floorplan Slicing Tree * A B A B + B A B A

  43. 3 1 4 5 2 6 7 Slicing Trees Slicing Floorplan Slicing Tree * + + + 2 1 3 * * 21+67*45*+3+* 6 7 4 5 Polish Expression (postorder traversal of slicing tree)

  44. 3 1 4 5 2 6 7 Normalized PE • A normalized Polish Expression has no consecutive + or *. Slicing Floorplan Slicing Tree * + + + 2 1 * 3 * 6 7 5 4 21+67*45*3++* Polish Expression

  45. Normalized PE • There is a 1-1 correspondence between slicing floorplan and normalized PE. • Normalized Polish Expression is commonly used to represent slicing floorplans.

  46. Questions • Does this normalized PE representation for slicing floorplan P-admissible? • What is the size of the solution space? • How can we get back a floorplan from its normalized PE representation? • Are all slicing floorplans with n modules reachable starting from any arbitrary one by using the set of move operations?

  47. Shaping • In floorplan design, we need to determine the positions and shapes of the modules: B C C Move Shaping A B C A A B AB+C* AB*C* AB*C*

  48. Shaping in Slicing Floorplan • Shaping in slicing floorplan can be done by “shape curve computation”. • Given a Polish expression of n modules and the areas of the modules, how to determine their dimensions to minimize the total area of the floorplan?

  49. Shape Curve • To represent the possible shapes of a block. Block with several possible designs Soft block h h Feasible region h1 Feasible region h2 h1 h3 wh = A w1 w1 w2 w3 (0,0) (0,0) w w

  50. Combining Shape Curves h 1 2 • 12*: • 12+: 2 1 12* w 12+ h 2 1 1 2 w

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