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Practicality on Placement Given by Optimality of Packing Shigetoshi Nakatake Univ. of Kitakyushu Commemoration for Professor Y. Kajitani : ISPD 2013 1 ISPD 2013 Commemoration for Professor Y. Kajitani

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Practicality on Placement Given by

Optimality of Packing

Shigetoshi Nakatake

Univ. of Kitakyushu

Commemoration for Professor Y. Kajitani : ISPD 2013

1

ISPD 2013

Commemoration for Professor Y. Kajitani

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Today’s Talk

1) Rect. packing-base analog placementSequence-pair Packing

Constraint-driven Optimization

2) With or without packing scenario,

how do we develop analog placement? Analytical Analog placement with proximity constraints

Comparison : w/ and w/o topological packing technique

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2D Rect. Packing

3

INPUT: A set of rectangles, each of which has width and height

OUTPUT: A placement of rectangles

SUBJECT TO: No overlapping of any pair of rectangles

OBJECTIVE: Minimize bounding box of all the rectangles

Sequence-Pair[ICCAD95], [TCAD96]

Commemoration for Professor Y. Kajitani : ISPD 2013

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Topological Representation and

Constraint Graphs

ac

b

Topological description:

Placement

(w/o any overlapping):

a is left-of c (c is right of a)

b is left-of c (c is right of b)

b is below a (a is above b)

a

b

a

b

c

Constraint graphs:

vertical const. graph horizontal const. graph

a

cb

Compacted placement:

w(b)/2

w(a)/2

h(a)/2

NOTE: Gv, Gh are weighted DAG

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Sequence-Pair(1)

a

bf

d

ec

Oblique-Line-Grid: Equivalent Representation of SP

Sequence-PairPlacement

)bfcaedabcdef,(),( SP

ab

cd

ef b

fc

ae

d

a

b c

f

ed

)(1 X

)(1 X

: position of X in

: position of X in

)()(),()( 1111 YXYX

)()(),()( 1111 YXYX

X is left-of Y

X is below Y

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Sequence-Pair(2)

a

bc

d

e

f

S Thh

Gh: horizontal constraint graph Gv: vertical constraint graph

a

bc

d

e

f

S

T

v

v

X Yw(X)/2+w(Y)/2

X

Y

h(X)/2+h(Y)/2

NOTE: w(X) , h(X): width, height of X6

Commemoration for Professor Y. Kajitani : ISPD 2013

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Sequence-Pair(3)

1. Every placement corresponds to a

sequence-pair

2. Packing according to constraint graphs

can generate a minimal area placement

under the same topological description

3. A solution space induced by sequence-

pairs always includes an optimum

placement with respect to area

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Sequence-Pair(4)

a b b a

Application to simulated annealing

Moves:

1. FullExchange(a,b):

a

b a

b b

a b

a

a b

b

aa

b

b

a

a b

b

a

a

b

a

b b

a

a

b

a

b

a

b

2. HalfExchange(a,b, ): |

pair-exchange on pair-exchange on

pair-exchange on both and

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Practical Applications of Packing

• Building block placement

• Floorplanning for large scale circuits

• Analog placement

• 3D Cube packing

• Polygon packing

• Scheduling for dynamic reconfigurable

system

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Analog Placement

10

Device Generation Cell Design Block Design

1. Circuit netlist2. Design rule

3. Specification / constraints

Layout(Layers w/ Geometry,

Contacts, Wires…)?

Each Placement…

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Analog Placement

• Geometry-based placement

– ILAC [CICC88], KOAN/ANAGRAM [ICCAD88]

larger area and time consuming

• Topology-based placement (modern)

– BSG, Sequence-Pair, O-tree, B*-tree, TCG-S,

– Constraint-driven

• symmetry, common-centroid, alignment and

others

smaller area and rapid convergence

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Constraint-driven Placement

1. Formulation as a rectangle packing problem

2. Extensions under constraints

Separation Constraint

Alignment Constraint

Abutment Constraint

Boundary Constraint

Symmetry Constraint

Preplaced Constraint

Range Constraint

Cluster Constraint

symm-const.

cluster-const.12

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Our Works in Constraint-driven

Analog Layout

13

• Placement– ASPDAC04, GLSVLSI04, IEICE04, ISVLIS06a,

ASPDAC09, ASPDAC08

– AMPER produced by JEDAT

• Routing– GLSVLSI05, IEICE06

• Compaction– ASPDAC02, ISVLSI06b

– GRANA produced by JEDAT

[ICCAD95] H.Murata, K.Fujiyoshi, S. Nakatake, Y.Kajitani, “Rectangle-Packing Based on Module Placement”, ICCAD95, pp.472-479, 1995.

[TCAD96] VLSI H.Murata, K.Fujiyoshi, S.Nakatake, Y.Kajitani, “Module Placement Based on Rectangle-Packing by the Sequence-Pair”,

IEEE Trans. on CAD, vol.15, No.12, pp.1518-1524, 1996.

[ASPDAC02] Y.Kubo, S.Nakatake, Y.Kajitani, M.Kawakita, “Explicit Expression and Simultaneous Optimization of Placement and Routing

for Analog IC Layouts”, ASPDAC02, pp.467-472, 2002.

[ASPDAC04] T.Nojima, X.Zhu, Y.Takashima, S.Nakatake, Y.Kajitani, “Multi-Level Placement with Circuit Schema Based Clustering in

Analog IC Layouts”, ASPDAC04, pp.406-411, 2004.

[GLSVLSI04] T.Nojima, X.Zhu, Y.Takashima, S.Nakatake, Y.Kajitani, “A Device-Level Placement with Multi-Directional Convex Clustering”,

GLSVLSI04, pp.196-201, 2004.

[IEICE04] T.Nojima, X.Zhu, Y.Takashima, S.Nakatake, Y.Kajitani, “A Device-Level Placement with Schema Based Clusters in Analog IC

Layouts”, IEICE Trans. on Fundamentals, Vol.E87-A, No.12, pp.3301-3308, 2004.

[IEICE06] N. Fu, S. Nakatake, Y. Takashima, Y. Kajitani, “The Oct-Touched Tile: A New Architecture for Shape-Based Routing ”, IEICE

Trans. on Fundamentals, Vol.E89-A, No.2, pp.448-445, 2006 .

[ISVLSI06a] N Fu, S. Nakatake, M. Mineshima, “Multi-SP: A Representation with United Rectangles for Analog Placement and Routing”,

ISVLSI06, pp.38-43, 2006.

[ISVLSI06b] T.Nojima, S.Nakatake, T.Fujimura, K.Okazaki, Y.Kajitani, N.Ono, “Adaptive Porting of Analog IPs with Reusable Conservative

Properties”, ISVLSI06, pp.18-23, 2006.

[ASPDAC07] S.Nakatake, “Structured Placement with Topological Regularity Evaluation”, ASPDAC07, pp.215-220, 2007.

[ASPDAC08] Q.Dong, S.Nakatake, “Constraint-Free Analog Placement with Topological Symmetry Structure”, ASPDAC08, pp.186-191,

2008.

Commemoration for Professor Y. Kajitani : ISPD 2013

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Analog Constraint Formulation

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Objective and Optimization

• Objective: Area + Wirelength (HPWL or

MST)

• Framework: Simulated Annealing

– Moves

– Feasibility Check

• Topological Checking sequence-pair conditions

• Geometrical Checking no positive cycle

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Design Flow for Analog Layout

Schematic Entry

Netlist Generation

Device Generation

Layout Constraint

Generation

Constraint-Driven

Placement

Routing

Simulation &

Device Sizing

Compaction

(option)

DRC, LVSLPE & PostLayout

Simulation

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Design Case Study: LCD-Driver

manual

const-driven

manual const-driven manual const-driven

NOTE: Both ICs by ‘manual’ and ‘const-

driven’ implemented on NECEL 0.35um,

both of them could work.

(Collaboration with NEC micro systems.)

AMPBIAS

Level-Shifter

BGR

manual const-driven17

Commemoration for Professor Y. Kajitani : ISPD 2013

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Today’s Talk

1) Rect. packing-base analog placementSequence-pair Packing

Constraint-driven Optimization

2) With or without packing scenario,

how do we develop analog placement? Analytical Analog placement with proximity constraints

Comparison : w/ and w/o topological packing technique

18Commemoration for Professor Y. Kajitani : ISPD 2013

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Representation of Placement (1)

19

C

A B

(1) Schematic

A B

C

(4) Electrical Placement

(3) Physical/Geometrical Placement

(2) Symbolic/Topological Placement

A B

C

C

A B

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Representation of Placement (2)

20

C

A B

Schematic

A B

C

Electrical PlacementGeometrical PlacementTopological Placement

C

A B

Outline

I/O pin

Device size

A BC

Layers

Design rulesParasitics

Device

sizing

Floorpl

anning

Device

Generati

on (PDK)

Layout(Place

ment/Routing/

Compaction)

LPE

Outputs

Steps

Commemoration for Professor Y. Kajitani : ISPD 2013

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Optimization of Placement

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Constraint-driven Sensitivity-driven

A B

C

X

1. Spec.: Voff < 1mV

2. Extract diff. pair (A, B)

3. Symm. Const.: A and B is x-

symmetry for X

4. Represent placement and

constraint topologically

5. Search optimal placement

under constraints

Input is up to here

C

A B

1. Spec.: Voff < 1mV

2. Generate parasitic network

3. Sensitivity analysis

4. Perturb placement of A, B, C

and optimize placement

)min(C

offset

B

offset

A

offset

X

V

X

V

X

V

))(())((

))((

Input is up to here

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Constraint-driven v.s. Sensitivity-driven

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Constraint-driven Sensitivity-driven

A B

C

XC

A B))(())((

))((

- Need to substitute objective

and constraints

- Available to use general

optimizer like SA

- Rapid computation and global

optimization

- EDA and users can have

explicit consensus by means

of constraints

- Directly optimize specification

without substituting objective

and constraints

- Huge computation and local

optimization

- All can be don in EDA

- Need routing information for

accuracy

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Preliminary of Sensitivity-driven:

Analytical Analog Placement

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Analytical Placement

Pros: high speed, good scalability

Cons: many overlaps, messy

Proximity function induced by group

information

Analytical analog placement w/ proximity constraints

VDD

VSS

Iref

VIN VrefVOUT

B

A

C

D

G HF

E

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Group Extraction from Schematic

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B

A

C

D

G H

F

Epch

nch

VDD

VSS

Iref

VIN Vref

VOUTB

A

C

D

G H

F

E1. Extract sub-netlist

corresponding to

current mirror,

differential pair, logic

primitive…

2. Place blocks

corresponding to

sub-netlists.

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w/o Rect. Packing:

Analytical Formulation

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Min: CostOfHPWL + CostOfOverlap + CostOfGroupProximity

Well Group : P-well, N-well with same potential

Signal Group : path from VDD to GND

Res. Group : resisters connected in parallel or serial.

Cap. Group : capacitances with same size

CM. Group : current mirrors

DP. Group : differential pairs

Variables: x and y-coordinates of each cell

CostOfHPWL LogSumExp.

CostOfHPWL Overlap Removal Length, Takashima, et. al. SASIMI 2010.

CostOfGroupProximity like an HPWL formulation.

VDD

VSS

Iref

VIN VrefVOUT

DP

CP

CM

DP Sig

SigP-

well

N-well

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Group Proximity Cost Formulation

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A

C

B

D

F

H

E

G

(xmin, ymin)

(xmax, ymax)

GroupCost = Max(AreaOfBoundBox, SumOfCellArea)

t × log{exp((xmax- xmin)*(ymax- ymin) / t)+ exp( a(i) / t)}iÎ{A, ,H}

å

xmin = -t × log exp(-l(i) / t)iÎ{A,… H}

å

xmax = t × log exp(r(i) / t)iÎ{A,… H}

å

Group : { A, B, C, D, E, F, G, H }

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Example: Analytical Analog Placement

w/ proximity constraints

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TIME : 1.0 sec.

AREA : 29,793 (100%)

HPWL : 2,998 (100%)

But, many DR-errors.

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Analytical Analog Placement

w/o Proximity Constraints

28Commemoration for Professor Y. Kajitani : ISPD 2013

TIME : 1.0 sec.

AREA : 22,637 (76%)

HPWL : 4,259 (142%)

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Eliminating DR-errors

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De-compaction

No DR-errors.

1D-Compaction

No DR-errors.

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FloorplanCircuit Netlist

w/ Device Configuration

FP FP FP FP

Designer’s Choice

Diffusion/Gate-sharing

Routing

Layout Layout Layout Layout

Redesign of Netlist or

Regeneration of

Devices

Parameter

Tuning

w/ Rect. Packing:

Multi-output Floorplan

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Comparison:

Rect. Packing-base Placement (1)

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AREA : 23,212 (78%)

HPWL : 3,443 (115%)

No DR-errors.

AREA: 25,405 (85%)

HPWL: 4,010 (134%)

No DR-errors.

Total time for 10 placements: 7.0 sec.

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Comparison:

Rect. Packing-base Placement (2)

32Commemoration for Professor Y. Kajitani : ISPD 2013

AREA : 27,070 (91%)

HPWL : 3,814 (127%)

No DR-errors.

AREA : 26,798 (90%)

HWPL : 4,083 (136%)

No DR-errors.

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w/ Rect. Packing:

Dynamic Diffusion/Gate Sharing

a b c

fed

a

d

c

circuit schematicnot sharing diffusion and gate sharing

b

e f

Diffusions (gates) can save area if they have the same net

possible gate/diffusion sharing:

a set of blocks forming a topological row and array

33Representation, Limitation and Optimization in Analog Placement

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w/ Rect. Packing:

Dynamic Well Island Generation

p p p p

N-Well N-Well

p p p p

N-Well

p p p p

N-Well N-Well

VDD

VDD

VDD1VDD2

ws1

ds2

ws3

A and B have the same potential separation = ws1

A and B have the same well island separation = ds2 not for wells but diffusions

A and B have different potential wells separation = ws3

ds1

ds3

Different rules for separation between wells

A B

A B

BA

NOTE: ds2 < ws1 < ws2

possible well-island :

a set of blocks which are rectangular extractable34

Representation, Limitation and Optimization in Analog Placement

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Control of Adjacency:

Diffusion Sharing

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w/o diffusion sharing w/ diffusion sharing

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Summary

• Rect. Packing:

– Compacted

– Multi-output

– Soft modules

– No DR errors

– Easy to take constraint-

driven

– Easy to control

adjacency (constraints)

– Floorplan to estimate

area

• Analytical:

– Less wire-length

– Quick

– Scalability

– Potentially applicable

to sensitivity-driven

– Initial placement for

manual designer

36Commemoration for Professor Y. Kajitani : ISPD 2013

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Thank you!

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Block Size

Well Island

Diffusion Sharing

Multiplier/Finger

Sensitivity

Parasitics

PWR/GND

Hierarchical Structure

Differential Pair,

Current Mirror, …

Logic (INV, NAND, …)

Netlist

Sim.

report

Group

Symmetry

Guard-Ring

Pair / Array

Dummy

High

Low

Floorplan

Constraint-Driven

Layout System

Know-how

TemplateIP

Process

variationσ(ΔVth), σ(Δβ), σ(Δλ)

Distance-Dependent

Size-Dependent

Analog Layout Constraint

Constraint

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38

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B CA D

Separation Constraint

poly layerpdiff layer

>= 0.45 um

>= 1.5 um

poly layermetal1 layer

>= 0.85 um>= 0.45 um

>= 0.45 um>= 0.85 um

metal1 layer

A B C D

w(A,pdiff)/2+w(B,pdiff)/2+1.5

w(B,pdff)/2+w(C,poly)/2+0.85

w(C,poly)/2+w(D,poly)/2+0.45

NOTE: w(X, L) = width of layer L of device X

maximal separation

horizontal constraint graph:

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Alignment Constraint

BABA

BA

A

Bh(B)/2-h(A)/2

vertical constraint graph:

A

Bh(A)/2-h(B)/2

h(B)/2-h(A)/2

A

B0

h(A)/2-h(B)/2

-0

sequence-pair condition:

SP=(…A…B…, …A…B…)

bottom-alignment top-alignment ycenter-alignment

)()(),()( 1111 BABA

SP= (…B…A…, …B…A…)

)()(),()( 1111 ABAB or

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Abutment Constraint

A B

sequence-pair condition:

horizontal-abutment

vertical constraint graph:

A

B

AB

A

B

B

A

min(h(A),h(B))/2-max(h(A),h(B))/2

min(h(A),h(B))/2-max(h(A),h(B))/2

)()(),()( 1111 BABA )()( 11 AX )()( 11 XB

)()( 11 AX )()( 11 XB and

or or

or

for ),( BAX

41Commemoration for Professor Y. Kajitani : ISPD 2013

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Boundary Constraint

Aleft-boundary

placement region

sequence-pair condition:

horizontal constraint graph:

)()( 11 XA for )( AX

B

for )( BX

)()( 11 XA or

bottom-boundary(X0,Y0)

)()( 11 BX )()( 11 XB or

vertical constraint graph:

SA

S

B

=X0

w(A)/2

-h(B)/2

h(B)/2

h v =Y0-w(A)/2

42Commemoration for Professor Y. Kajitani : ISPD 2013

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Range Constraint

A

P(X1,Y1)

Q(X2,Y2)

horizontal constraint graph: vertical constraint graph:

Aw(A)/2

P

Q

-w(A)/2

=X1

=X2Aw(A)/2

P

Q

-w(A)/2

=Y1

=Y2

NOTE: P, Q are dummy blocks

range const. preplaced const. if P and Q are the same as A

43Commemoration for Professor Y. Kajitani : ISPD 2013

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Symmetry Constraint

sequence-pair condition:

horizontal constraint graph:

))(())(()()( 1111 AsymBsymBA

A C

NOTE: sym(A)=C, sym(B)=D, sym(E)=E

Eself-symmetry: Epair-symmetry: (A,C), (B,D)

B D

B

X

DE

A C

vertical constraint graph:

A C

B D

0

-0

0

-0

NOTE: ycenter-alignment

w(A)/2+d1

0 -0

Xz

w(C)/2+d1

w(C)/2-d1w(A)/2-d1

w(B)/2+d2 w(D)/2+d2

w(B)/2-d2 w(D)/2-d2

horizontal symmetry group

d1 d1

d2 d2

NOTE: X is dummy node, d1, d2 should be precalculated44

Commemoration for Professor Y. Kajitani : ISPD 2013

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Cluster Constraint(1)

a c b

left-of

left-of left-of

a c b

left-of

left-of left-of

Horizontal-convex Not Horizontal-convex

a, b, c X a, b X, c X

Horizontal-Convex:

For any pair (a, b) in X such that “a” is left-of “b”:

Any device “c” such that

“a” is left-of “c” and “c” is left-of “b” also belongs to X

45Commemoration for Professor Y. Kajitani : ISPD 2013

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Cluster Constraint(2)

X Y

a

b

b

b

left-ofbelow

above

X is Convexly left-of Y:

•X and Y are horizontal-

convex

•No pair (a, b) such that a X

is right-of b Y

X

Y

a

b

bleft-of

below

X is convexly left-below Y:

•X is convexly left-of and

convexly below Y

•No pair (a, b) such that a X

is right-of and above b Y

46Commemoration for Professor Y. Kajitani : ISPD 2013

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Cluster Constraint(4)

X is convexly ... Y Sequence-Pair a X and b Y

left-of

below

right-of

above

left-below

right-below

right-above

left-above

sequence-pair condition for all convex relation

)}()({)}()({ 1111 baba

)}()({)}()({ 1111 baba

)}()({)}()({ 1111 baba

)}()({)}()({ 1111 baba

)()( 11 ba

)()( 11 ba

)()( 11 ba

)()( 11 ba

47Commemoration for Professor Y. Kajitani : ISPD 2013