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Manufacture Testing of Digital Circuits

Manufacture Testing of Digital Circuits. Alexander Gnusin. Library. Design Verification. HDL. specification. manual design. RTL Synthesis. netlist. Is the design consistent with the original specification? Is what I think I want what I really want?. logic optimization.

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Manufacture Testing of Digital Circuits

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  1. Manufacture Testing of Digital Circuits Alexander Gnusin

  2. Library Design Verification HDL specification manual design RTL Synthesis netlist Is the design consistent with the original specification? Is what I think I want what I really want? logic optimization netlist physical design layout

  3. a 0 d q Library/ module generators 1 b s clk a 0 d q 1 b s clk Implementation Verification HDL manual design RTL Synthesis netlist Is the implementation consistent with the original design intent? Is what I implemented what I wanted? logic optimization netlist physical design layout

  4. a 0 d q Library/ module DB 1 b s clk a 0 d q 1 b s clk Manufacture Verification (Test) HDL Is the manufactured circuit consistent with the implemented design? Did they build what I wanted? manual design RTL Synthesis netlist logic optimization netlist physical design layout

  5. Defects and Fault models • Types of Manufacturing defects: • Bridging (1) • Shorts (2) • Opens (3) • Transistors stuck-open (4) • These need to be reduced to models: • Single stuck-at-1, stuck-at-0 • Multiple stuck-at-1, stuck-at-0 • Delay fault models: • Gate • Path 2 1 4 x 3

  6. Fault Models s-a-1 a x Single stuck-at fault: In the faulty circuit, a single line/wire is S-a-0 or S-a-1 b c s-a-1 Multiple stuck-at faults: In the faulty circuit any subset of wires are S-a-0 or S-a-1 (in any combination) a x b x s-a-0 c

  7. Fault Models - 2 a b Gate delay fault 0 c 1 0 a 0 b Path delay fault c

  8. Sequential to Combinational Logic reduction Internal scan chains: add additional state to flip-flops (15 - 20% area overhead) TE = 0 : Functional mode, no influence TE = 1 : Scan mode, any data can be loaded/extracted Data Input of FF acts as additional Primary Output The Output of FF acts as additional Primary Input TE D D D TI TI Q TI CK CK

  9. Test Generation • Choose a fault model, e.g., single stuck-at fault model • Given a combinational circuit which realizes the function f(x1, x2, . . . xn), a logical fault changes it to fµ(x1, x2, . . . xn) • Inputs detecting µ are f Å fµ ( = 1 ) • Interested in one vectorA = (a1, a2, . . ., an) Î f Å fµ

  10. Single Stuck-At Faults • A fault is assumed to occur only on a single line. G x1 x2 x3 a Z = x1 x2 + x2 x3 b c x1 x2 x3 a a s-a-1 Z = x1 + x2x3 c s-a-1 Z = x2x3 b

  11. Definitions • Controlability of internal point x: exist input vectors V0{x} and V1{x} that set x to 0 and 1 • Observability of internal point x: exist input vector Vobs{x} that drives the value of x to primary output • Cofactors of function F(x,y,z) w.r.t. variable x: • Fx = F(1,y,z), Fx = F(0,y,z) • Shannon Expansion of function F(x,y,z): • F(x,y,z) = x * Fx + x * Fx Fx x F Fx x

  12. Boolean Difference Circuit C has function f(x1, x2, . . . xn) Input xi s-a-0 (fault µ) fµ= fxi( cofactor of f w.r.t. xi) Set of tests detecting µ T = fÅ fµ = (xi fxi + xi fxi) Å fxi = xi (fxiÅ fxi) = fxiÅ fxi - Boolean difference of f w.r.t. xi df dxi

  13. Boolean Difference Example G1 x2 x3 G3 s-a-0 G5 x1 x f G2 G4 x4 Function: f = (x2 + x3)x1 + x1 x4 x1 s-a-0 - compute x1 = f(0, x2, x3, x4) Å f(1, x2, x3, x4) = x4Å (x2 + x3) T = x1 x2 x3 x4 + x1 x2 x4 + x1 x3 x4 df dx1 df dx1

  14. Internal Faults • Let C be a circuit for f(X) and h be an internal signal in C. • Represent h as a Boolean function h(X) • Express f as a function of inputs X and h f * (X, h) º f(X) • Set of all tests for h s-a-0 df * (X, h) dh h(X)*

  15. Internal Faults Example h s-a-0 x2 x3 x x1 f x4 f = (x2 + x3)x1 + x1 x4 f * = h x1 + x1 x4 h = x2 + x3 df * dh = x1 x4Å (x1 + x1 x4) = x1 Result : T = x1 x2 + x1 x3 = f *( x1, x4, 0) Å f *(x1, x4, 1)

  16. Path Sensitization • In order for an input vector X to detect a fault a s-a-j, j = 0,1 the input X must cause the signal a in the normal (fault-free) circuit to take the value j. • The condition is necessary but not sufficient. Error signal must be propagated to output. To detect h s-a-1, need x2 + x3 = 0, i.e., x2 x3 h s-a-1 x2 x3 x x1 f x4

  17. Error Propagation • The error signal must be propagated along some path from its origin to an output • Only one path G3, G5 • In order to propagate an error through AND gate G3, other input x1 = 1. To propagate throughG5, need G4 = 0, x1 + x4 G1 h x2 x3 x G3 0/1 0/1 G5 x1 1 f G2 G4 0/1 0 x4 h s-a-1, for h to be 0, need x2 = x3 = 0 ( x2 x3 )

  18. Single Path Sensitization (SPS) • 1. Specify inputs so as to generate the appropriate value (0 for s-a-1, 1 for s-a-0) at the site of the fault. • 2. Select a path from the site of the fault to an output and specify additional signal values to propagate the fault signal along this path to the output(Error propagation). • 3. Specify input values so as to produce the signal values specified in (2)(Line justification).

  19. Sensitization Example G2 G5 D f1 A • h s-a-1 • To generate h = 0, we need A = B = C = 1 • Have a choice of propagating through G5 or via G6. • Propagating through G5 requires G2 = 1Þ A = D = 0, Contradiction • Propagating through G6 requires G4 = 1 Þ C = 1, E = 0. • A valid test vector is ABCE G1 h x B G6 C f2 G3 G4 E

  20. Redundancy • Existence of a fault does not change the functionality of a circuit Þredundant fault • f = x1 + x1 x2 f = x1 + x2 • A test generation algorithm is assumed complete if it either finds a test for any fault or proves its redundancy, upon terminating. s-a-0 x1 f x x1 x2 f x2

  21. Implementation Verification and Testing • Given two single-output circuits A and B • Are A and B equivalent can be posed as: Is there a test for F s-a-0? • If F s-a-0 is redundant, A º B else test vector produces different outputs for A and B. x1 x2 s-a-0 A x3 x x4 B

  22. Implementation Verification (cont) • 2 Stages of functional verification: • Match Primary Input, Primary Output and Register names between two designs • Check Functional Equivalence of each one of matching logic cones Design A r1 r2 r3 r4 Design B r1’ r2’ r3’ r4’

  23. Usage of Shannon expansion for Timing Optimization Fx x F • F(x,y,z) = x * Fx + x * Fx Fx x Problem: Long Timing Path from input A to output Y Solution: Use Shannon expansion of Y by A: 1 B C D A B C D x Y Y 0 B C D x

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