automated electronic design 1.introduction 2.area of problems 3.approaches and solutions 4.other...

Automated electronic design

1. Introduction2. Area of problems3. Approaches and solutions4. Other related Ideas 5. Conclusions

By Alexander Mitev

Introduction

• - Why to automate ?• - Time cycles, cost, quality • - Computer design vs. hand made

Introduction

• - Digital vs. Analog

DIGITAL ANALOG

Circuit scale LARGE SMALL

Design methodology VHDL SCHEMATIC

Design SYSTEMATIC INTUITIVE

Synthesis system CURRENTLY USED NOT YET

Behavior of the transistors

SIMPLE COMPLEX

Salary HIGH HIGHER???

Introduction• The art of analog circuit design

Area of problems

• Complex behavior of analog circuits• No common rule how to synthesize• The imperfection of computer modeling • The rising complexity of formal solutions• The highest degree of freedom of analog

circuits• Mostly the solutions in analog design is

approved after simulation or real test.

Available solutions – Genetic programming

-Achieves this goal of automatic programming by genetically breeding a population of computer programs using the principles of Darwinian natural selection and biologically inspired operations.

-Genetic operations include reproduction, crossover (sexual recombination), mutation, and architecture-altering operations patterned after gene duplication and gene deletion in nature.

-The main generational loop of a run of genetic programming consists of the fitness evaluation, Darwinian selection, and the genetic operations.

Available solutions – Genetic programming

-Genome – a collection of genes , representing parameters of the problem to be optimized- Example of genome:

01 1 001 001001Inpu t R esistor R o Transisto r

W id th O utput Im pedance

Available solutions – Genetic programming, example 1

• Goal – Best solution for the transistor widths and resistor value for R1• Genome – 76 bit , approximately 7.5x1025 possible designs


• Results:• Result in 163’th generation • Total work time: Pentium 200 - 15 min


• Goal – Filter Synthesis• Limitation: bandwidth, minimal component• Fitness calculation:

100..

( ( ), )

( ) ( ) ( )1, ( )10, ( )

i ii F

i GOAL i OUT i

i

i

Fitness W d f f

d f V f V fd f W

Wd f W


0V2

1uC4

1K R5

1K

R61mL4

1K R7

1K

R14

1uC5

VOUT

1uC7

1uC8

1K

R8

1mL6

1K R9

1K

R10

1K R11

1mL7

1mL8

1uC9

1uC10

1uC11

1K

R12

1K R13

Best individual at generation 40


50 100 150

Fitness

0.0001

50

5 elem ents

34 elem ents

G eneration100 150

Elem ents

- Solution after the 100’th generation - Minimal elements and exact pass bandwidth.- Total CPU time - 7h 43min.


0VIN

1uC2

1K R2

1K

R3

1mL2

1K R4

1mL3

1uC3

VOUT


- Goal Low pass filter using parallel GA- Genome 400 bytes ; 18000 individuals max- Best result 23’th generation- Total working time 6 SUN workstation 4 hours

Available solutions – Genetic programming: Summary

-Benefits:-Novel approach by simulating natural selection-Mostly with GA could be solved problems faster than by hand.

Shortcoming (regarding this research)-Time dependable -Domain dependable, presently available for filters and amplifiers-No guarantee to solve the problem

Available solutions – Automated design by reusing

• CBR: the basic idea is to solve a new problems by comparing them with old ones that have been solved in the past

• Major method – testing for similarity.• Base with “past experience”, Intelligent retrieval • Intelligent retain – if a new solution is available• Generalizing this idea by considering the common sense

of Intellectual product (IP)

The reuse - cycle

- Retrieval – an IP is selected corresponding to the respective specifications

The reuse - cycle


- Instantiation: If an IP has been selected the necessary design is instantiated, OR

The reuse - cycle



- The design flow is defined to meet the constraints

The reuse - cycle



- The design flow is defined to meet the constraints

- Retain – if it has been decided to store the synthesized circuit

Solution – Reuse

Design by reuse• Algebraic description of Libraries• Basic requirement : LB, LF library

Kb – behavior to be synthesizedVb – behavior parametersDb- allowed parameters

Kf – design flow to be synthesizedVf – des. flow parametersDf- allowed des. flow parameters

Design by reuse

LB library – parameterized design

LB – store certain design, which can be instantiated

Kb – parameterized specification of the synthesized behavior

Vb – specification parameters

Db – allowed parameters

Design by reuse

• Specifications b and b’ are:• - identical • - equal (same behavior)• - extension b<b’

• Example 32 bit adder and 16 bit adder

Design by reuse

• LF library – design flow for synthesis

LF – store certain design flow

Kf – parameterized design flow

Vf – specification parameters

Db – allowed parameters values

Design by reuse

• Algebraic description of Libraries• Reuse library LIB

( , );;

Ki Kb KfVi Vb VfDi

Ki – parameters for behavior and des. flowVi – both parameters from Vb and Bf Di- allowed parameters values

Design by reuse

• Reuse component IP I = (Ki, Vi, Di)• Instance if |Di|=1• Configurable if |Di|>1

Ki – parameters for behavior and des. flowVi – specification parameters from Vb and Bf Di- allowed parameters values

Design by reuse

Design by reuse

• Similarity of IP’s

'

'

'( )

: ( ) ( ) [0.1]

( , ') ( ( ), ( )) (0,1]I I

V I I

v V I Iv V V

sim d v d v

SIM I I r sim d v d v

For each parameter in Vi is calculated similarity of the allowed parametersRv – relevance factor, stating the importance ov V for the hole design

Design by reuse• Constraint management

R ds m axId m ax

P d m ax

R ds m ax

Id m ax

Pd m ax

( , )drain d dP f I R

Design by reuse• Constraint management

R ds m axId m ax

Pd m ax

R ds m ax

Id m ax

Pd m ax

Id m in

Rds

( , )drain d dP f I R

Design by reuse - example

• READEE project – CBR technology of design and IP reuse

• Realization as a WEB based service. • Problem domain – selection of DSP processors• Similarity measure – application and DSP-specific

information ( Example : consuming power )• Performance or qualifying is based on abstract table

model including many application orientated properties

Design by reuse - example• DSP operations table:• 1. Operations , such as arithmetic, logic etc.• 2. Performance profile : filter (parameters) ; FFT

(parameters, #simples) ; general purpose options

• Task of evaluation model supporting similarity calculations:

• 1. Clock frequency is derived as a function of consuming power

• 2. User specified performance profile is mapped to the main data code.

Design by reuse - example

DSP function taxonomy

Design by reuse - summaryBenefits:- Knowledge based approach - No iterations, quick solution (if there is a solution)- With retain mechanism – theoretically provide

solutions for all possible problems

Drawbacks:1. Design for reuse2. Numerous parameters, one another dependable3. In many cases scalable design is impossible

Design by reuse • Define domain of problem set (ex. Noise, gain etc.)• Determine all domain of parameters ( ex. frequency,

resistance, etc). V – V [p1, p1, ….pn]

• Level-1: L1 base - Separate the Analog circuit in simple modules with known parameters (ex. Transistor, capacitor etc).

L1- L1[Ti, Vi]• Leve-2 : L2 base – Topological low level description (CE

transistor, Differ. Pair.)L2 – L2(L1k, Vk)

Design by reuse• Hence we have description of all analog

building blocks• The instantiate base describes all available

design circuits • Now we can reuse different block according

problem specification

( ) [ 2( ), ( )]I t F L k V r

Design by reuse

Q1beta= 100

Q2beta= 100

Q3beta= 100

Q4beta= 100

Q5beta= 100

Q6beta= 100

IEE

300ua

VLO

0

RC

15K R

C2

5K

L1100uh

C1100pf

VC

C10

VR

F0

VB

IAS

-2

C

BB

AA

1

4

3

2

Simplifying of circuit by substitution with building blocks

Ideas for automated electronic design

• By decomposition the circuit into submodules or building blocks we can get these advantages:

• 1. instantiate each block, not the hole circuit• 2. if we symbolic describe behavior of each block we

can make some prediction of the total behavior of the circuit. More important is the reverse operation – to make a relation from behavior to building modules.

Ideas for automated electronic design

• 3. If we can make a complete set of building blocks. It will be one step ahead to use one special case of reuse – software reuse similar to HDL based languages. Presently is available analog extension of VHDL but only for elementary elements ( transistors, diodes)

• Problems : – Rising complexity of symbolic representation with the

size of circuit– Every circuit maintain one symbolic representation,

but not vice versa.

Conclusion, feature work

1. The key of the analog design is in distinguishing of the topologies.

2. Common ontology for analog design. (not seen yet in the topic of automated analog design). Example: Hi-Fi audio amplifier includes: filters, amplifying modules, comparators etc).

3. Each element of this ontology has to be provided with detailed parametric specifications: - all allowed parameters ; - all scalable parameters.

4. We can reuse the elements not the hole circuit

Conclusion, feature work3. Scenario for design flow could be possible to simulate

based on the symbolic description (expression) of the problem by evaluating and/or reusing.

4. Mechanism for decomposition major problem to minor subproblems.

automated electronic design 1.introduction 2.area of problems 3.approaches and solutions 4.other...

Documents