oscillator verification with probability onehunt/fmcad/fmcad12/s7_p2.pdf · our approach:...
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Oscillator Verification withProbability One
Chao Yan, Mark Greenstreet
Intel, The University of British Columbia
cc cc
fwd
fwd
cc cc
fwd
fwd
x0+ x1
+
x0− x1
−−1 −0.5 0 0.5 1
−1
−0.5
0
0.5
1
u∆1
u∆ 2
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Outline✈ Motivation
✈ Rambus Ring Oscillator
✈ Our Approach: Reachability Analysis
✈ Challenge 1: Performance
✈ Challenge 2: Non-empty Failure Set
✈ Result
✈ Conclusion & Future Work
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Motivation✈ AMS bugs account for large percent of re-spin bugs in industry
✉ Analog or Mixed Signal Circuits are widely used, e.g. Cells, IO, DFx✉ Digital design has become relatively low error, e.g. formal property verification
✉ Analog design relies on designers’ intuition and expertise
✈ Simulation based methods are not good enough✉ Expensive: solve continuous ordinary differential equations (ODEs)✉ Low coverage: impossible to cover all corner cases
✉ Start-up failures: most simulations assume intended operating conditions
✈ Formal verification is an attractive approach
✈ But, not as successful as digital FV✉ Computation is more expensive than simulation: solve nonlinear ODEs from an
initial set✉ Accuracy is a big problem: approximation techniques must be applied
✉ Analog are complicated, unexpected problems: e.g. metastability behaviors
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Rambus Ring Oscillator
x0+ x1
+ x2+ x3
+
x0− x1
− x2− x3
−
cc
fwd
fwd
cccc cc
fwd
fwd
cc cc
fwd
fwd
cc cc
fwd
fwd
✈ Even-stage differential oscillator✉ Forward inverters (fwd), cross-couple inverters (cc).✉ Forward inverters and cross-couple inverters fight each other to make the
circuit oscillate✉ Generates multiple, evenly spaced, differential phases.
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Start-up Failures
x0+ x1
+ x2+ x3
+
x0− x1
− x2− x3
−
cc
fwd
fwd
cccc cc
fwd
fwd
cc cc
fwd
fwd
cc cc
fwd
fwd
✈ Will it start-up reliably?✉ Proposed by Jones et al.✉ Easy to show that the oscillation mode is stable once the oscillator is running.✉ Start-up failures have been observed for real chips in spite of extensive
simulation.
✉ Known to depend on the transistor sizes in the inverters.
s =size of cross coupling inverters
size of forward inverters
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Start-up Failures
fwd
fwd
cc cc
H
H
fwd
fwd
cc cc
H
H
fwd
fwd
cc cc
L
L
fwd
fwd
cc cc
L
L
✈ If the fwd inverters are much larger than the cc’s,✉ then the circuit acts like an 8-inverter ring,
✉ and the circuit may lock-up.
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Start-up Failures
H
fwd
fwd H
LH
LH
LL fwd
fwd
fwd
fwd
fwd
fwd
cccc
cccc
cccc
cccc
✈ If the cc inverters are much larger than the fwd’s,✉ then the circuit acts like 4 SRAM cells,
✉ and the circuit may lock-up.
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Our Approach: Reachability Analysis✈ Reachability analysis
✉ Given an initial set S(0)✉ and a dynamical system x = f(x)
✉ compute forward reachable set S(∆t) after time ∆t
✉ S(∆t) contains all trajectories from S(0)
✉ repeat for S(2∆t), S(3∆t) · · ·
S(2∆t)
S(∆t)
S(0)
x = f (x)
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Our Approach: Reachability Analysis✈ Reachability analysis
✈ Global convergence by reachability computation✉ Split the entire initial state space into small cubes✉ Compute forward reachable states from these cubes
✉ Show reachable sets from “all“ cubes converge to one invariant set.
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COHO: Reachability Computation Tool✈ Construct accurate ODE models from net-list automatically
v = f(v)
✈ Solving dynamic systems: linear differential inclusions
v = Av + b± u
✈ Efficient representation of high dimensional space: projectagon✉ Exploits extensive algorithms for 2D computational geometry.
✉ Support non-convex regions for accuracy
✈ COHO is sound for verifying safety properties
✈ Available at http://coho.sourceforge.net
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Challenge 1: Performance✈ Reachability computation using circuit-level model is expensive
✉ Each reachable computation in 4D may take 10 minutes or several hours.✉ There are 164 = 64k cubes for the two-stage oscillator
✉ Requires at least 450 days computation
✈ Reachability computation can’t show convergence if using simplemodels with large approximation✉ E.g. interval
✉ Reachable sets blow up rapidly
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Dynamical System Analysis✈ Apply “quick“ reachability computation with large
over-approximation when the dynamical system converges quickly
✈ Apply “accurate“ reachability computation to minimize errorotherwise
accuratefast
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Step 1. Differential Operation✈ Change coordinate system
u∆i
=x+i− x−
i√2
, “differential” component
uΣi
=x+i+ x−
i√2
, “common mode” component
✈ Partition u space into small boxes and determine flows betweenboxes
x ≤ 0? x ≥ 0?
✈ Eliminate boxes from future consideration✉ if the node has no incoming edges
✈ Refine the partition and repeat above stepsFMCAD12 25
th Oct, 2012 Oscillator Verification with Probability One – p.10/17
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Step 1. Differential Operation✈ All initial conditions lead to boxes with uΣ
0 and uΣ1 close to Vdd/
√2.
✈ With m = 64, only 0.45% of total space remains
0 0.5 1 1.5 2 2.50
0.5
1
1.5
2
2.5
u3
u4 uΣ 2
uΣ1
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Space reduction✈ Common-mode components converges to a small range
✈ 2-dimensional interval model
u = f(u) =⇒ u∆ ∈ f(u∆)± err(uΣ)
✈ Reachability computation for 2-dim system is much more efficientfor 4-dim systems.
✈ Computation error is much smaller although the model error islarger
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Challenge 2: No Ideal Oscillator✈ Reachability analysis can’t show escape from the metastable
region
?
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Challenge 2: No Ideal Oscillator✈ Reachability analysis can’t show escape from the metastable
region
✈ Theorem 1: It is impossible to design an oscillator that starts fromall initial conditions.
✈ A common feature in many analog systems, e.g. arbiter,synchronizer
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Negligible Failure Set✈ The failure set is not empty, instead, show it’s negligible
✉ Perfectly reasonable for real designers.✉ But, reachability analysis can’t solve the problem
✉ A formal correctness proof must include some notion of probability.
✈ Theorem 2✉ Generalization of the ”cone” argument (Mitchell et al.)✉ A sufficient condition to show the failure set has lower dimension than the full
space✉ All trajectories leave the failure set with probability one
✉ Details in the paper
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Step 2. Divergence from Metastability✈ Prove trajectories escape from the metastable region with
probability one by Theorem 2.
✈ Set H = diag([+1,+1,−1,−1])✉ ”1” for the growing differential components, trajectories diverge
✉ ”-1” for the diminishing common-mode components, trajectories converge
−1 −0.5 0 0.5 1
−1
−0.5
0
0.5
1
u1
u2
u∆1
u∆ 2
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Step 3. Put it all together✈ Perform reachability computations from remaining cubes only.
✈ Note we use 2-dim inclusion models
✈ Avoid repeated computations✉ Only check cubes on boundaries: trajectories can’t cross
✉ Partition the state space by 16 “spokes”
−1 −0.5 0 0.5 1
−1
−0.5
0
0.5
1
u∆1
u∆ 2
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Results✈ Verification with equal-size inverters
✉ The oscillator is formally verified, i.e. no higher harmonic oscillations or chaoticbehavior
✉ Reachability computation is less than 5 minutes
✈ Verification for a range of sizes✉ Use conservative over-approximation to guarantee soundness of the results
✉ Oscillators with 0.67 ≤ s ≤ 2.0 are formally verified
s =size of cross coupling inverters
size of forward inverters
x0+ x1
+ x2+ x3
+
x0− x1
− x2− x3
−
cc
fwd
fwd
cccc cc
fwd
fwd
cc cc
fwd
fwd
cc cc
fwd
fwd
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Conclusion✈ Measure-theory can be combined with standard reachability
methods to formally verify real analog circuits.✉ Reachability analysis can be combined efficiently with dynamical system
analysis to show global convergence✉ No physically plausible oscillator starts from all initial conditions✉ Present a general method to prove that the failures occur with probability zero
✉ Differential operations can be exploited for model reductions
✈ Future Work✉ Apply our method to more state-of-the-art process (e.g. PTM models)✉ Use interval-arithmetic for Phase II✉ Verify ring oscillator with more (6+) stages (may have higher harmonic modes)✉ Parameterized verification
✉ Verify other practical analog circuits from industry
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Prior Work
00.2
0.40.6
0.81
1.21.4
1.6
0
0.5
1
1.5
0
0.5
1
1.5
2
2.5
3
s
V0−V1 Projection of Equlibrium Points
v01
v11
✈ Small Signal Analysis [Greenstreet et al.]✉ Finds all DC equilibrium points and detects if any are stable.✉ The oscillator is free from lock-up for 0.625 < s < 2.25
✉ A necessary condition but is NOT sufficient to prove correct operation✉ Can not ensure no global convergence failures, e.g. harmonic behaviors?
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