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Relativetiming based verification of timed circuits and systems

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Hoshik Kim and Peter A. Beerel. Department of EE-Systems. University of Southern California ... H. Kim and P. A. Beerel 6. 6/19/09. Issues with Explicit-timing ... – PowerPoint PPT presentation

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Title: Relativetiming based verification of timed circuits and systems


1
Relative-timing based verification of timed
circuits and systems
  • Hoshik Kim and Peter A. Beerel
  • Department of EE-Systems
  • University of Southern California
  • IWLS 99
  • June 27-30, 1999

2
Motivation Timed Circuits and Systems
  • Definition
  • Any circuit/specification in which timing
    constraints/assumptions are necessary to ensure
    correct operation
  • Examples
  • Delayed-reset Domino Nowka et al., ICCD98
  • Self-Resetting Domino Chappell et al., IBM96
  • Timed (asynchronous) circuits Intels RAPPID,
    ASYNC99
  • Advantages
  • Extremely fast and dense
  • Disadvantages
  • Hard to design and verify
  • Requires complicated timing verification

3
Self-Resetting Domino (SRCMOS)
  • Characteristics
  • The input signal to a SRCMOS stage is a pulse
    rather than a level
  • Input pulse requirements
  • must last until after N1 falls
  • must be less than the reset delay (green path)
  • Key implication
  • Thus, a two-sided constraint on the pulse width
    exists

N2
Q
N1
A
B
A self-resetting 2-input OR gate
4
Possible Verification Approaches
  • Our approach Reduce the cost of asynchronous
    analysis

5
Current State-of-the-Art Explicit-timing
  • Features Belluomini et al., ASYNC99
  • Bounds of delays used
  • Time is dense - timed state space is infinite!
  • Timed state space representation
  • States labeled with binary value of all signals
  • Regions used to characterize the time in each
    state

6
Issues with Explicit-timing approach
  • Explicit-timing verification must overcome double
    exponential complexity (state space timing)
  • Timing margins may need to be overly conservative
  • Delay bounds must be valid across process
    variations
  • Minor design changes that affect bounds require
    complete re-verification

7
Relative-Timing (RT) Verification
  • Verification methodology
  • Find relative-timing constraints on path delays
    that guarantee correctness
  • If red path delay is smaller than green path, y
    is stable high - OK
  • If red path delay is larger than yellow path, y
    has neg. pulse - OK
  • Otherwise, a runt pulse (or hazard) can occur -
    FAILURE
  • Analyze post-layout circuits to validate
    constraints
  • SPICE-level simulation OR
  • Simpler timing analysis using bounded delays

8
Advantages of Relative-Timing (RT)
  • Reduces verification complexity
  • RT techniques do not need to model timers
  • Reduces complexity exponentially
  • Facilitates use of mature symbolic methods
  • Facilitates tighter timing margins
  • RT constraints can be verified very aggressively
  • Promotes easy incremental verification
  • Many minor design changes easily verifiable
    (e.g., simulation)
  • E.g., transistor sizing, layout,
    technology/process migration

9
The problem statement
  • Definitions
  • Event chain
  • Sequence of transitions along
  • a circuit path
  • Delay of an event chain
  • associated path delay
  • E.g., DBA-y- DBA- DA-y-
  • Relative-timing constraint
  • Ordered triple of event chain delays
  • view as two sided constraint on a target event
    chain delay
  • E.g., DBA-
  • Our Goal
  • Find relative-timing constraints necessary and
    sufficient for correctness

10
Our approach
  • Step 1
  • Perform asynchronous reachability analysis (w/o
    regions)
  • States labeled with binary values of all signals
  • Over approximation because time is not considered
  • Step 2
  • Identify all possible failure transitions
  • Formalized with notion of an event triples
  • Step 3
  • Determine causality of events in event triple
  • Formalized with notion of an event PN
  • Step 4
  • Find relative timing constraint for each event PN
  • Formalized with notion of time separation of
    events (TSE)
  • Xie et al., ASYNC99

11
Event Triples
  • Target event t
  • labels a failure transition (causes a race)
  • Dangerous set of states
  • Q(t) s
  • Event triple (l, t, u)
  • t is a target event
  • l is a lower bound event which enters Q(t)
  • u is an upper bound event which escapes Q(t)
  • Interpretation
  • Target failure occurs if t happens after l enters
    Q(t) but before u occurs

12
An Event PN
  • The Goal
  • Characterize the causality of events in an event
    triple
  • Event PN
  • An acyclic Petri net describing causality of
    events
  • Our Approach
  • Create an Event PN to capture the causality
  • Find a constraint using TSEs.
  • TSE (l, t) 0 TSE (t, u) 0
  • TSE expressions relate to delays of gates along
    circuit paths

13
One possible approach
Circuit Description
Specification
  • Leverage off of advanced verification techniques
    Pastor99, Vakilotojar98, Yoneda96, Yenigun99
  • Mapping PN from ETS is computationally complex
  • The assignments of delays to places is unclear
    when label splitting occurs

Transition System (TS) ? Elementary TS (ETS)
Cortadella et al.95 ?
Event PN for each event triple
RT constraints
14
An alternative approach
Circuit Description
Specification
  • Creating the Petri net model of a circuit is
    straight forward
  • Leverage off of advanced verification techniques
    Pastor99, Vakilotojar98, Yoneda96, Yenigun99
  • The correspondence of delays on places and gate
    delays is pre-determined in the Petri net gate
    library
  • Looks more promising

RT constraints
15
Example 1 Static C-element
16
Example 1 (cont.)
  • Generate RT Constraints
  • 1. T B-, A-
  • 2. For t B-,
  • L C, U u3
  • 3. Find an event PN and thus RT constraint
  • for event triple (C, B-, u3)
  • 4. For t A-,
  • L C, U u2
  • 5. Repeat Step 3 for event triple (C, A-, u2)
  • The circuit will work correctly unless it
    satisfies any of the RT constraints.

17
Example 1 (cont.)
  • A partial marking corresponds to a dangerous
    states set Q
  • ? indicates input
  • ! indicates output

18
Example 1 (cont.)
  • Event PN for event triple (C, B-, u3)
  • Double synchronization events here
  • Thus, only upper and lower bounds on TSE can be
    found Xie et al.99
  • The upper bound of TSE (TSEu) will be used in the
    constraints to be conservative
  • Event triple (l, t, u) (C, B-, u3)
  • ? TSE (C, B-) d(p3) 0 (Delay of a
    place is always positive)
  • ? Leads to a trivial two-sided constraints
  • ? TSEu (B-, u3)
  • max max d(p4) d(p2) d(p5), d(p6)
    - d(p4) d(p2) d(p3), d(p5) - d(p3) 0
  • DBu1CB- DCB-

19
Example 2 Two-sided constraints
000
00000
A
A
100
10000
B
y
State A B C
B
11000
10001
C-
y
B
x
110
C-
C
A-
11001
11010
x
y
State A B C x y
010
111
11011
C
A-
C
A-
A-
11111
011
F
A-
B-
A-
001
x
A-
00100
01000
y-
x
Specification
y-
00101
01010
01001
y
x-
00111
01011
C
B-
01111
Reachability Graph
20
Example 2 (cont.)
  • Generate Chain Constraints
  • 1. T A-, x
  • 2. For t A-,
  • L B, U x, y
  • 3. Find an event PN and sub-constraint for each
  • event triple (B, A-, x) and (B, A-, y).
  • Conjunction of all sub-constraints is an RT
  • constraint
  • 4. For t x,
  • L A-, U y-
  • 5. Repeat Step 3 for event triple (A-, x, y-)

21
Example 2 (cont.)
  • A partial marking corresponds to a dangerous
    states set Q
  • ? indicates input
  • ! indicates output

22
Example 2 (cont.)
  • Event PN for event triple (A-, x, y-)

00000
A
10000
B
y
11000
10001
C-
y
B
x
11001
11010
x
y
State A B C x y
11011
C
A-
A-
11111
F
A-
  • Event triple (l, t, u) (A-, x, y-)
  • ? TSE (A-, x) d(p1) - d(p2) 0
  • ? TSE (x, y-) d(p2) d(p3) - d(p1) 0
  • (DBA-
  • \ DBA-
  • If we had only one bound DBx would remove good states - false negatives

A-
x
A-
00100
01000
y-
x
y-
00101
01010
01001
y
x-
00111
01011
C
B-
01111
23
Conclusion
  • We presented novel verification techniques to
    support emerging high performance circuit design
    techniques.
  • These techniques identify a set of two-sided path
    delay constraints that are sufficient to find any
    failure of the circuits
  • Constraints can be verified using simulation or
    simpler timing analysis

24
Future Work
  • Refine and implement the theory and algorithm
  • Combine with hierarchical and other partial order
    approaches
  • Test on both aggressively designed synchronous
    and asynchronous circuits
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