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Symbolic analysis tools-the state of the art

Abstract

This paper reviews the main last generation symbolic analyzers, comparing them in terms of functionality, pointing out also their shortcomings. The state of the art in this field is also studied, pointing out directions for future research.

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Symbolic analysis tools-the state of the art

Author: Fernández Fernández, Francisco Vidal; Rodríguez Vázquez, Ángel Benito
Publisher: Institute of Electrical and Electronics Engineers
Year: 1996
DOI: 10.1109/ISCAS.1996.542145
Source: https://idus.us.es/bitstreams/917e0456-6c20-4f1c-9b30-ebee0c37d79d/download
SYMBOLIC
ANALYSIS TOOLS
-
THE STATE-OF-THE-ART
F ancisco V. Fe n Andez and Angel Rod iguez-Vkzquez
Dep . o Analog Ci cui Design, Cen o Nacional de Mic oelec cjnica
Edi . CICA, A da. Reina Me cedes s/n, E-41012 Se illa, SPAIN
Phone: +34
5
4239923,
FAX:
+34
5
4231832, E-mail: [email p o ec ed]
ABSTRACT
This pape e iews he main las gene a ion symbolic ana-
lyze s, compa ing hem in e ms o unc ionali y, poin ing ou
also hei sho comings. The s a e-o - he-a in his ield is
also s udied, poin ing ou di ec ions o u u e esea ch.
1.
INTRODUCTION
Ci cui analysis is a basic miles one o e icien design o
in eg a ed ci cui s. E e since powe ul compu e s ha e been
a ailable, designe s ha e de eloped p og ams o analyze ci -
cui s au oma ically. Today, all elec ical enginee ing p o es-
sionals and s uden s use
elec ical simula o s
(such as
HSPICE o ELDO). Howe e , elec ical simula o s do no
co e all he analysis asks equi ed o in eg a ed ci cui
design. Essen ially, hey only se e o
e z y
he pe o mance
o p e iously
sized
ci cui s. Among o he hings, designe s
mus be able o
p edic
he beha io o
unsized
ci cui s by
acing ela ionships among pe o mance igu es and design
pa ame e s. These ela ionships may be in he o m
o
ans-
e unc ions, poles and ze os, oo loci, pa ame ic Bode
plo s, ha monic dis o ion coe icien s, e c. Tools used o
de i e hem au oma ically a e called
symbolic analyze s.
The i s gene a ion o symbolic analyze s appea ed in he
la e 60’s
[l],
whe e he basic analysis echniques we e p o-
posed. Mos
o
hese echniques a e compiled in a ecen book
by P.M. Lin
[2].
These ools did no sp ead on he designe
communi y, pa ially due o hei compu a ional cos and
because hey did no ully i he designe equi emen s. On
he o he hand, he lack o in e es on cus om analog ICs du -
ing he 70’s ende ed symbolic analyze s seconda y as com-
pa ed o elec ical simula ions. This scena io changed du ing
he
80’s
wi h he inc eased economical in e es on cus om
analog and mixed-signal ASICs. Symbolic analyze s we e
p omp ly ecognized c ucial ools o: p o ide insigh and
knowledge abou analog ci cui s; suppo au oma ic beha -
io al modeling
o
analog in eg a ed ci cui s; p o ide com-
piled models o au oma ic epe i i e e alua ions equi ed o
analog syn hesis, among o he applica ions
[3],
[4].
I
esul ed in he eme gence o a new gene a ion
o
ools du ing
he la e
80’s.
Main ea u es
o
his new gene a ion ha e been
app oxima ion, pos -p ocessing and he ex ension o weakly
non-linea ci cui analysis. This pape summa izes some
main con ibu ions in hese second gene a ion
ools,
and
compa es he cha ac e is ics o many o hem.
2.
SYMBOLIC EXPRESSION APPROXIMATION
Simpli ica ion in symbolic analysis is de ined as he educ-
ion o o mula complexi y by elimina ing insigni ican e ms
o sub-exp essions, based on nume ical es ima es
o
he sym-
bolic pa ame e s. Simpli ica ion (o app oxima ion) is
equi ed e en o small ci cui s gi en he exponen ial
inc ease
o
he exp ession leng h wi h he ci cui size. Con-
0-7803-3073-0/96/$5
.OO
‘1996
IEEE
798
en ional simpli ica ion app oaches i s calcula e he
com-
ple e
symbolic exp ession, and hen simpli ies i
--
Simpli ica ion A e Gene a ion (SAG). Di e en e sions o
SAG ha e been implemen ed in mode n symbolic analyze s:
ISAAC [5], SSPICE [6] and ASAP
[7]
o
expanded
o ma
exp essions, and
SYNAP [8]
and ASAP [7] o
nes ed
o ma
exp essions. Di e ences a ise in he con ol o e o s and in
he use o ei he a nominal poin o a nominal in e al o es i-
ma e he magni ude o he symbolic e ms.
Due o he necessi y o gene a ing comple e exp essions,
SAG echniques a e cons ained o small and medium com-
plexi y ci cui s (below abou
100
symbols). La ge ci cui s
can be analyzed by using he newes app oaches o simpli y-
ing
du ing,
o
be o e
o, he analysis s age. They a e called
Simpli ica ion Qu ing Gene a ion (SDG) and Simpli ica ion
Be o e Gene a ion (SBG) echniques espec i ely.
The a ionale behind SDG echniques is ha e ms can be
gene a ed s ic ly in dec easing o de o magni ude s a ing
wi h he la ges . The classical undi ec ed
ee enume a ion
me hod has demons a ed o be he mos e icien o sol e he
unde lying
ma oid
in e sec ion p oblem. This app oach has
been implemen ed wi h sligh di e ences in RAINIER
[9],[10]
and ADAGIO
[11],[12],
he new ool e ol ed om
ASAP and ISAAC.
SBG can ake place in he ne wo k unde analysis, eplac-
ing hose elemen s (o subci cui s), whose con ibu ion
(app op ia ely measu ed) o he ne wo k unc ion is negligi-
ble, wi h a ze o-admi ance o ze o-impedance elemen .
These app oxima ions a e usually done when de i ing ne -
wo k equa ions manually. Howe e , excep o he mos i -
ial eplacemen s, no au oma ic p ocedu e has been epo ed
ye . Repo ed app oaches pe o m app oxima ions di ec ly on
he ne wo k equa ions, ei he in g aph
[SI
o ma ix o m [13],
~41.
3.
POSTPROCESSING
TOOLS
These a e basically in ended o easie in e p e a ion and
manipula ions
o
symbolic o mulae, o o ex ac in o ma-
ion om hem.
3.1.
Symbolic pole-ze o ex ac ion
Poles and ze os a e commonly used by analog designe s.
[
151 in oduced a echnique o symbolic ex ac ion
o
poles
and ze os, based on heu is ic app oxima ions, simila o hose
pe o med by expe analog designe s, e.g.: he
oo -spli ing
echnique. This app oach is also used in [16] which subse-
quen ly applies a symbolic New on i e a ion o e ine he
polelze o loca ions ob ained wi h he oo -spli ing echnique.
Conside , o example, he ac i e eed o wa d compen-
sa ed ampli ie o Fig. 1. A symbolic ex ac ion
o
he i s
pole/ze o pai gi es
[
151
:
3.4. Fac o iza ion and complexi y educ ion
E en app oxima ed exp essions can be di icul o in e p e
due o he conside able size hey ha e when calcula ed wi h
enough accu acy in medium o la ge ci cui s. Fac o iza ion o
common ac o s and cancella ions o common ac o s in
nume a o and denomina o a e some o he needed capabili-
ies o imp o e he in e p e abili y wi hou dec easing he
accu acy. Many mode n ools inco po a e some p imi i e
o m o ac o iza ion. Bu mo e sophis ica ed mechanisms a e
s ill needed, o ins ance
o
elimina e he con ibu ion o bias
ci cui y which usually a ec equally nume a o and denom-
ina o o mos ans e unc ions.
?
Figu e
1
:
Ac i e eed o wa d compensa ed ampli ie
The in e es o symbolic poles and ze os can be seen h ough
his example. F om
(1)
one can in e s he alue o he com-
pensa ion capaci o ha annuls he pole/ze o misma ch and
hence imp o es he high equency beha io o he ampli ie ,
Ano he ex ac ion echnique, epo ed in
[
171, ex ends he
oo spli ing echnique o clus e o poles o ze os which a e
qui e apa om o he clus e s and calcula es app oxima e
exp essions o he ne wo k unc ion o a equency ange
app op ia e o he oo s being calcula ed.
3.2. G aphical in e aces
Some ools inco po a e g aphical in e aces o pa ame ic
ep esen a ions o Bode diag ams o oo locus. Fo illus a-
ion, Fig. 2 shows he g aphical ep esen a ion o he eal pa
o poles and ze os o he ol age gain o Fig.
1
e sus he
alue o
Cpz.
The alue o which he pole/ze o pai cancel is
clea ly seen.
-io*
-106
-104
-102
0
102
io4 io6
108
io10
Re(s)
( adls)
(log)
Figu e
2:
Pole/ze o loca ion ( eal pa ) e sus Cpz.
3.3.
Sensi i i y analysis
Sensi i i y analysis also plays a undamen al ole in analog
ci cui design, specially in he calcula ion o he in luence o
componen misma ches. The sensi i i y
o
a ci cui cha ac e -
ized by a symbolic sys em unc ion
H(s,
x)
can be ob ained
by simply de i ing he sys em unc ion wi h espec o he ci -
cui pa ame e
[
181,
[
191, [20].
4. AN OVERVIEW
OF
CURRENT
TOOLS
Many symbolic analyze s ha e e ol ed as membe s o his
second gene a ion. Exac compa ison o hei pe o mance is
di icul due o he lack o s anda d benchma ks o es ci -
cui s and pla o ms. Some key cha ac e is ics o main
epo ed symbolic analyze s a e compa ed
in
Table 1. A b ie
desc ip ion o hose analyze s ollows.
SCAPP [22] has been implemen ed a Iowa S a e Uni e -
si y, in he amewo k o he de elopmen o a new me hod-
ology o symbolic analysis o la ge ci cui s. The p og am
pa i ions he ci cui s hie a chically and symbolically ana-
lyzes each sub-ci cui sepa a ely. Once he e minal blocks
a e analyzed, an in e se un o he pa i ion p ocess econ-
s uc s he global sys em unc ion. Since his analyze uses an
app oach o la ge ci cui s based on hie a chical analysis, he
sys em unc ions a e gi en as a se ies o exp essions a he
han only one exp ession. Thus, he numbe o symbolic
e ms g ows linea ly, ins ead o exponen ially, wi h he ci cui
size. SCAPP can be ob ained o ee ia anonymous p a
cp e
1
.ee.ias a e.edu:/pub/scapp
SCYMBAL and SYBILIN [23] a e wo simula o s de el-
oped in CNET (Bagneux, F ance). A dis inc i e ea u e o
SCYMBAL is ha i was de eloped speci ically o swi ched-
capaci o ci cui s. I allows no only con inuous a iables
such as conduc ances, capaci o s, e c., as symbolic pa ame-
e s, bu also boolean a iables such as clock phases. On he
o he hand, SYBILIN is a con inuous- ime analyze , specially
concei ed o he analysis o mic owa e ci cui s. These ools
can be ob ained om he au ho s on eques . The p ice
depends on he ype o ins i u ion.
SC
[24]
was de eloped a he Uni e si y o A izona, and
concei ed o class oom use, and hus de eloped o pe sonal
compu e s. I has a se o pos -p ocessing ools o ease in e -
p e a ion o symbolic da a: in e ac i e nume ic e alua ion,
nume ic calcula ion o poles and ze os, and g aphic ep esen-
a ion.
SC
can be ob ained om he au ho s wi h a
$6
han-
dling cha ge.
SAPEC [25] was implemen ed a he Uni e si y o
Flo-
ence, also o PCs. One o i s main cha ac e is ics is he
g oup o applica ions de eloped a ound i , such as symbolic
sensi i i y analysis, ansien analysis o elec onic powe ci -
cui s, calcula ion o es abili y index and aul diagnosis.
SAPEC can be ob ained o ee om he au ho (e-mail:
mane i@ ing i 1 .ing.uni i.i )
SSPICE
[6]
was de eloped a Michigan S a e Uni e si y
o bo h pe sonal compu e s and main ames. I inco po a es
a as albei
no
e y accu a e
SAG
echnique.
I
is also
capa-
ble o pe o ming sensi i i y analysis [19]. SSPICE is a ail-
able om Ins uc ional Media Cen e (Michigan S a e
799
Uni e si y) wi h a cos o $5OO/copy and a license ee o
$250/yea . The e is a limi ed s uden e sion o $25.
SYNAP [8] was de eloped a ETH in Zu ich (Swi ze -
land). Toge he wi h ISAAC and ASAP, i was especially
concei ed o he modelling and design o analog in eg a ed
ci cui s and, mo e speci ically, o be included on CAD ame-
wo ks o au oma ic design o analog in eg a ed ci cui s. I
inco po a es encapsula ed models o semiconduc o de ices
and analog unc ional blocks, and can handle misma ches. I s
newes e sion is capable o analyzing linea con inuous- ime
and sample-da a ci cui s, and also inco po a es a p imi i e
DC analysis capabili y. SAG echniques implemen ed in
SYNAP use he concep o "lazy expansions", which pe -
o ms app oxima ions di ec ly on he nes ed exp essions.
SYNAP is a ailable om he au ho only o uni e si ies and
non-p o i esea ch ins i u ions.
The i s e sion o ISAAC
[5]
was de eloped in he
Ka holieke Uni e si ei Leu en. I was he i s ool o
inco po a e he analysis o weakly nonlinea cha ac e is ics
[26]. Like ASAP, SYNAP, and SSPICE
i
ob ained simpli ied
exp essions using SAG echniques. I uses exac exp essions
in expanded o ma and elimina es hose leas signi ican
e ms whose accumula ed sum emains small. ISAAC o ms
a undamen al pa o he au oma ic design sys em
ARIADNE [27]. ISAAC
is
a ailable om he au ho s o a
$400
handling cha ge.
A
Lucid Common Lisp license is
equi ed. Dis ibu ion o companies is done on a case by case
basis. Cu en ly i is being imp o ed o include SDG and
SBG, among o he new ea u es
--
a coope a i e p ojec
sha ed wi h ASAP.
ASAP [28] was de eloped a he Cen o Nacional de
Mic oelec hica in Se illa (Spain). Like SSPICE, i uns on
wo ks a ions and PCs. I sha es wi h ISAAC he capabili y o
pe o ming g oupings o elemen s and oge he wi h SYNAP,
he explici exp ession o misma ching. I calcula es app ox-
ima e poles and ze os symbolically. ASAP also inco po a es
a new SAG c i e ia which educe e o s by conside ing in e -
als o he symbolic pa ame e s ins ead o ixed nume ic al-
ues. App oxima ion wi h a ia ion anges has also been used
o de elop a eliable and p ecise c i e ion o simpli y nes ed
exp essions esul ing om hie a chical analysis. ASAP has
been comme cialized wi hin he ELDO amewo k and is
a ailable h ough ANACAD-EES.
SIFTER
[
141
and RAINIER [9] ha e been de eloped a he
Uni e si y o Washing on a Sea le, and ha e mainly
add essed he implemen a ion o SBG and SDG echniques,
as discussed in Sec ion 2. RAINIER is a ailable o ee ia
anonymous p a
wol 8.ee.washing on.edu.
5.
FUTURE DEVELOPMENTS
One o he majo challenges o u u e symbolic analyze s
is inc easing he complexi y o ci cui s, while keeping he
in e p e abili y o esul s.
A
possible solu ion has been shown
o be he applica ion o hie a chical analysis echniques.
These echniques a e specially adequa e o la ge ci cui s
consis ing o loosely coupled sub-blocks. Fo s ongly con-
nec ed ci cui s new SBG and SDG echniques a e a ising.
The symbolic analysis o la ge ne wo ks has been he ocus
o in ense a en ion in he las yea s,
is
s ill o in e es oday,
and doub less will con inue o be
o
in e es in he u u e.
Table
1
shows ha mos ools a e limi ed o he analysis o
linea (ized) ci cui s. The i s a emp o nonlinea analysis
has been epo ed in [26] al hough limi ed o weak non-linea -
i ies. Reducing he ac ual symbolic analysis echniques o he
s udy o linea o weakly nonlinea cha ac e is ics limi s i s
p ac ical applica ions. I can be assu ed ha he possible
u u e a ailabili y o la ge signal symbolic analysis ech-
niques will suppose he ull in eg a ion o hese ools in au o-
ma ic design and es sys ems, and in gene al, wi hin any
CAD en i onmen . Rega ding he ime domain, he i s
a emp s a ime-domain symbolic simula ion ha e been
epo ed in [291.
Toge he wi h he de elopmen o symbolic analysis ech-
niques o non- adi ional cha ac e is ics, and he new, mo e
e icien algo i hms, applica ions a e being ampli ied wi hin
ields such as au oma ic design o analog in eg a ed ci cui s.
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[
11
P.
M.
Lin, "A Su ey o Applica ions o Symbolic Ne wo k
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on
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732-737,
NOV.
1973.
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800
TABLE
1:
COMPARISON
OF
SYMBOLIC ANALYZERS
SC
MNA
S
no
no
no
SCYMBAL
/SYBILIN SAPEC SSPICE
MNA MNA
S S
no Yes
no no
no no
SYNAP
MNA
s&z
Yes
Yes
ISAAC
CMNA
s&z
Yes
no
ASAP
SFG
S
Yes
Yes
SIFTER RAINIER
nodal ee
analysis enum.
S
S
no no
no no
Ez=pT
&
SFG
Fo mula ion
Analysis domain
SAG
(expanded o ma )
SAG
(nes ed o ma )
SBG no
I
no no
I
yes
I
yes
SDG
no
I
no no
I
no
I
yes no
I
yes yes
I
no
I
yes
Misma chings no
I
no yes
I
no
I
no
Elemen lumping no
I
no no
I
yes yes
I
no
I
no
Nonlinea analysis nonlin.
-I-
Hie a chical
analysis
P/Z ex ac ion no
I
no no
I
no
I
no
G aphical in e ace no
1
no yes
I
yes
I
no
Pla o ms
WS
=
wo ks a ions)
ws
I
ws
Implemen a ion
language
c
I
LISP/
I
c
LISP/ LISP/
c++
I
c
C++
[
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e
al., "Symbolic Pole/Ze o Calcula ion Using
SANTAFE,"
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pp.2083-2087,
1995.
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and Sys ems,
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pp. 1043-1046,
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o
La ge Linea Ne wo ks
Using Symbolic P og ams,"
P oc. IEEE In . Symp. Ci cui s
and Sys ems,
pp. 1145-1 148, 1992.
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o
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o
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