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Timing Driven Gate Duplication: Complexity Issues and Algorithms

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Local Buffer Insertion Problem: Polynomially Solvable if the net topology is fixed. ... Situations in which buffer insertion is polynomially solvable, Gate Duplication ... – PowerPoint PPT presentation

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Title: Timing Driven Gate Duplication: Complexity Issues and Algorithms


1
Timing Driven Gate Duplication Complexity Issues
and Algorithms
  • Ankur Srivastava, Ryan Kastner and Majid
    Sarrafzadeh
  • Embedded Reconfigurable System Design ER-Group
  • UCLA

2
Motivation
  • Need for new methodologies of delay improvement
    in the light of the stringent timing constraint
    that designers have
  • Gate duplication has been studied primarily for
    cut-set minimization. Applicability of this
    method for improving delay has not been studied
    by the research community

3
Load Dependent Delay Model (LDDM)
?i ?i
?i
i
?j
j
?(i) ?i ?i COUT wire-delays are assumed
to be zero
?j ?j
4
Gate Duplication for Delay Improvement
A
C
B
r 2 ? 5
r 2 ? 5
r 2 ? 5
? 1 ? 1 ? 0.1
CD 15
D
r Input pin required time required time at
O/P - gate delay
r -14
CE 0.1
E
r -15.1
5
Gate Duplication for Delay Improvement
C
B
A
r 2 ? 5
r 2 ? 5
r 2 ? 5
? 1 ? 1 ? 0.1
r -9
E
r -10.2
6
Complexity Issues
  • Theorem Global Gate Duplication is NP-Complete
    in LDDM
  • MONO3SAT gets transformed to an instance of the
    global problem
  • Theorem Local Gate Duplication is NP-Complete
  • PARTITION problem gets transformed to an instance
    of the local problem

7
Complexity Issues (Comparison with Buffer
Insertion)
  • Local Buffer Insertion Problem Polynomially
    Solvable if the net topology is fixed.
  • Global Buffer Insertion Problem Polynomially
    solvable if the delay model has same pin to pin
    parameters
  • Situations in which buffer insertion is
    polynomially solvable, Gate Duplication becomes
    NP-Complete

8
Algorithm for Gate Duplication
  • Based on the structure of dynamic programming
  • Applies duplication to all the gates in the
    circuit. Hence works in the pro-active mode
  • Assumption The circuit has only single output
    combinational gates.

9
Algorithm for Gate Duplication
  • Stage1 Traverse the network from POs to PIs in
    the topological order evaluating tuples at every
    step
  • Stage2 Now traverse the network from PI to PO in
    topological order deciding the gates to be
    duplicated
  • Stage3 Traverse the network from PO to PI
    physically duplicating the gates

10
Stage 1
i
Need to find the best duplication strategy of the
fanouts such that the input pin required time is
maximized
i
tup(i,g).dup.r_small tup(i,g).dup.r_large
tup(i,g).nodup
11
Stage 1
i
Need to find the best duplication strategy of the
fanouts and the best fanout partitioning between
g and g such that the input pin required time is
maximized
i
tup(i,g).dup.r_small tup(i,g).dup.r_large
tup(i,g).nodup
12
Stage 1
  • NODUP Sort the fanouts and duplicate in that
    order. (total n1 duplication strategies)

RESULT This Algorithm is optimal
g
g
13
Stage 1
  • DUP

g
g
g
g
14
Stage 2
  • Stage2 Forward traversal in topo sorted order

1
0
15
Stage 3
  • Stage 3 Traverse the circuit backwards from PO
    to PI, physically duplicating the gates

16
Experimental Results
  • The circuit was first optimized using
    script.rugged of SIS followed by speed_up
  • Results obtained in two categories, one with
    minimum delay technology mapping map -n 1, other
    with minimum delay technology mapping with fanout
    optimization map -n 1 -AFG

17
Experimental Results (map -n 1)
18
Experimental Results (map -n 1 -AFG)
19
Conclusion
  • We presented an algorithm for gate duplication
    and showed its effectiveness in reducing circuit
    delay, both with and without buffer insertion
  • We proved the local problem NP-Complete
  • The future work would include the extension of
    this algorithm in a layout driven framework.

20
Timing Driven Gate Duplication Complexity Issues
and Algorithms
Ankur Srivastava, Ryan Kastner and Majid
Sarrafzadeh Embedded Reconfigurable System
Design ER-Group UCLA
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