Block Placement with Symmetry Constraints based on the Otree Nonslicing Representation PowerPoint PPT Presentation

presentation player overlay
1 / 25
About This Presentation
Transcript and Presenter's Notes

Title: Block Placement with Symmetry Constraints based on the Otree Nonslicing Representation


1
Block Placement with Symmetry Constraints based
on the O-tree Non-slicing Representation
  • Yingxin Pang, Florin Balasa?
  • Koen Lampaert?, Chung-Kuan Cheng
  • University of California, San Diego
  • ?University of Illinois at Chicago
  • ?Conexant System Inc.

2
Overview
  • Introduction and Motivation
  • O-tree representation
  • Symmetric constraints placement based on the
    O-tree representation
  • Experimental results
  • Conclusions

3
Why Symmetry Constraints
In analog circuits
  • To match interconnection parasitics and device
    parameters
  • To balance thermal effects

4
Symmetry Constraints
  • Symmetry Pair
  • A pair of blocks which have to be placed
    symmetrically with respect to an axis
  • Symmetry Group
  • A group of symmetry pairs which share a common
    axis
  • A symmetry group

h
5
Previous Work
  • Exploring absolute placement configurations
  • Operates directly on the absolute coordinates of
    the devices
  • Implements the symmetry constraints directly in
    the move set
  • Allows overlapped placements in intermediate
    solutions and the placer has to drive the overlap
    to zero during annealing

6
Previous Work
  • Employing topological representations
  • Slicing structure
  • Avoids the overlap problem
  • Restricts the set of reachable layout topologies
  • Sequence pair
  • Allows to explore all placement configurations
  • Works well in an industrial environment

7
O-tree Representation
An O-tree is an ordered tree, which can be
encoded by
  • is a 2n-bit string which identifies the
    structure of the tree
  • is a permutation of n nodes

An Example 00110100011011, abcdefg
8
O-tree to Placement
9
Symmetric X-feasible O-tree
  • Symmetric x-feasible O-tree
  • If an O-tree can lead to a placement satisfying
    both the horizontal positioning constraints and
    the horizontal symmetric constraints
  • X-constraint graph Gx
  • Has the same nodes as the given O-tree
  • Includes the horizontal constraint edges of the
    O-tree
  • Introduces two new arcs (a, b) and (b, a) for
    each symmetry pair (a,b)
  • w(a,b)0, w(b,a)0

10
X-constraint graph
A symmetric x-feasible O-tree
h
g
f
e
b
Symmetry pairs (b,h), (e,f)
11
X-constraint graph

A non-symmetric x-feasible O-tree
h
f
g
e
b
Symmetry pairs (b,h), (e,f)
12
Symmetric X-feasible O-tree
  • Theorem 1
  • If the x-constraint graph does not contain any
    positive cycles, then the corresponding O-tree is
    symmetric x-feasible.
  • Theorem 2
  • If an O-tree is symmetric x-feasible, a minimum
    width placement satisfying both horizontal
    positioning and symmetric constraints can be
    built in O(n2) time by applying the single source
    longest path algorithm

13
Placement of X-feasible O-tree
h
b
14
Symmetric Y-feasible O-tree
  • Symmetric y-feasible O-tree
  • If an O-tree can lead to a placement satisfying
    both the vertical positioning constraints and the
    vertical symmetric constraints
  • Y-constraint graph
  • Has the same nodes as the given O-tree
  • Includes the vertical constraint edges of the
    O-tree
  • Introduces additional edges modeling the vertical
    symmetric constraints as follows

15
Y-constraint Graph
  • For any two symmetry pairs ,
  • If there is a path from to
  • add a directed edge
  • unless the edge exists

h
g
f
d
e
c
a
b
16
Y-constraint Graph
  • For any two symmetry pairs ,
  • If there is a path from to
  • Add a directed edge
  • unless the edge exists

h
g
f
d
e
c
a
b
17
Y-constraint Graph
A symmetric y-feasible O-tree
Symmetry pairs (b,h), (e,f)
18
Y-constraint Graph
A non-symmetric y-feasible O-tree

f
g
h
d
e
c
a
b
Symmetry pairs (b,h), (e,f)
19
Y-coordinates
  • yi the longest path length from root to node Bi
  • execute a topological sort of the nodes in Gy
  • record each symmetry pairs (ai, bi) such that bi
    is ordered according the topological sort
  • for each symmetry pair (ai, bi)
  • if d gt0,
  • update
  • execute the single-source longest path algorithm,
    consider bi as the source

20
Symmetric Y-feasible O-tree
  • Theorem 3
  • If the y-constraint graph does not contain any
    cycles, then the corresponding O-tree is
    symmetric y-feasible.
  • Theorem 4
  • If an O-tree is symmetric y-feasible O-tree, a
    minimum height placement satisfying both vertical
    positioning and symmetric constraints can be
    built in O(n2) time

21
Symmetric Feasible O-tree
  • Symmetric feasible O-tree
  • Symmetric x-feasible
  • Symmetric y-feasible
  • Theorem 5
  • A symmetric feasible O-tree leads to a feasible
    placement and the placement is optimal under the
    O-tree packing rule
  • Theorem 6
  • A minimum area rectangle placement with symmetric
    constraints can be represented by a symmetric
    feasible O-tree

22
Symmetric Feasible O-tree to Placement
h
g
h
f
e
b
23
Experimental Results
24
Layout Result
lpf2_b25b
25
Conclusions
  • It handles the symmetry constraint efficiently by
    adding the symmetry constraints directly in the
    O-tree constraint graphs
  • It is better than other methods in terms of
  • Time complexity
  • Lower bound of configurations
Write a Comment
User Comments (0)
About PowerShow.com