Nostra-XTalk : A Predictive Framework for Accurate Static Timing Analysis in UDSM VLSI Circuits - PowerPoint PPT Presentation

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Nostra-XTalk : A Predictive Framework for Accurate Static Timing Analysis in UDSM VLSI Circuits

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Input slew (IDa)=[sial, siah] Aggressor. Input delay (IDv) ... sial. ca. tad. c1 c2. c1 c2. Worst case delay computation produces. Construct Feasible set F ... – PowerPoint PPT presentation

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Title: Nostra-XTalk : A Predictive Framework for Accurate Static Timing Analysis in UDSM VLSI Circuits


1
Nostra-XTalk A Predictive Framework for
Accurate Static Timing Analysis in UDSM VLSI
Circuits
  • Debasish Das, Ahmed Shebaita
  • Yehea Ismail, Hai Zhou
  • EECS, Northwestern
  • Kip Killpack
  • Strategic CAD Lab, Intel

2
Outline
  • Motivation and Previous Research
  • Directed Search Mechanism
  • Static Timer Algorithm
  • Experimental Setup
  • Conclusions and future work

3
Coupling Dominates
  • Coupling cap dominates interconnect parasitics
  • Graph shows ratio of coupling cap vs. ground cap
    of nets
  • Parasitics extracted from 65 nm logic block
  • Industrial Microprocessor design from Intel

4
Previous Research (Coupling Model)
  • Accurate computation of MCF needed
  • To model the effects of crosstalk
  • Analytical models for MCF computation proposed
  • Step transitions (0,2) Sapatnekar et.al, ICCAD
    2000
  • Ramp Models (-1,3) Kahng et.al, DAC 2000 Chen
    et.al, ICCAD 2000
  • Exponential Models (-1.885,3.885) Ghoneima
    et.al, ISCAS 2005
  • Accurate models are applied to timing analysis
  • Extending Ramp model to Timing Analysis Das et.
    al, ICCD 2006

5
Previous Research (Timing Analysis)
  • Timing Analysis with coupling iterative
  • Iterative analysis with continuous models Chen
    et.al ICCAD 2000
  • Iterative analysis with discrete models
    Sapatnekar et.al TCAD 2000, Chen et.al ICCAD
    2000, Arunachalam et.al DAC 2000
  • Circuit and coupling structure explored to speed
    up iterative analysis Das et. al ICCD 2006

6
Issues in Previous Research
  • Analytical models derived MCF based on
  • Output delay windows on victim and aggressor nets
  • Output slew windows on victim and aggressor nets
  • Correlation between input timing windows and MCF
    ignored
  • Correlation between input slew windows and MCF
    ignored
  • Such assumptions may lead to pessimistic MCF
    computation

7
Motivational Example
  • Rise Delay Window at I1
  • 2,4
  • Fall Delay Window at I2
  • 3.5,4.5
  • Static timing assumption on slews
  • Max victim input slew 0.6
  • Min aggressor input slew 0.8
  • Consider 2 timing events from 2,4 (arrival
    time, slew)
  • T1 (3.9,0.6)
  • T2 (4.0,0.6)

G1
2,4
O1
I1
3.5,4.5
I2
O2
G2
8
Motivational Example
  • MCF due to T1 2.5
  • MCF due to T2 2.4
  • Previous approaches will consider MCF as 2.5
  • Update 2,4 with MCF 2.5
  • Ideally
  • Compute Delay push-out on T1 due to MCF 2.5 T1po
  • Compute Delay push-out on T2 due to MCF 2.4 T2po
  • Maximum bound of output window
  • max(T1po,T2po)

G1
2,4
O1
I1
3.5,4.5
I2
O2
G2
9
Nostra-XTalk
  • Salient Features
  • Directed Search Mechanism
  • Search for input timing event
  • Results in worst/best delay push-out
  • Use of input timing windows on victim and
    aggressor
  • Accurate gate delay model employed
  • To take into account non-linearity of devices
  • Iterative static timer
  • Using Directed Search on a victim cluster
  • Collection of all aggressor nets connected to
    victim net

10
Outline
  • Motivation and Previous Research
  • Directed Search Approach
  • Static Timer Algorithm
  • Experimental Setup
  • Conclusions and future work

11
Circuit Model
N1
NAND
CC
CC
CC
N3
NAND
NAND
N2
Coupling Edge
Rise Arc
NAND
I1
N1
Fall Arc
I2
  • Rise/Fall-Delay-Window (Dil, Dih)
  • Rise/Fall-Slew-Window (sil,sih)
  • Associated nodes with coupling edge N1 and N2

12
Circuit Model for Directed Search
  • Enumerate arcs on drivers
  • Both victim and aggressor net

arc2
arc1
ODv,OSv
ODv,OSv
N1
IDv,ISv
IDv,ISv
arc1 arc2
Victim
cc
cc
IDa,ISa
IDa,ISa
arc3
ODa,OSa
ODa,OSa
arc3
arc1
arc2
ODv,OSv
arc3 arc4
ODv,OSv
IDv,ISv
IDv,ISv
Aggressor
cc
cc
N2
IDa,ISa
IDa,ISa
ODa,OSa
ODa,OSa
arc3
arc4
Victim
Aggressor
Input delay (IDa) Dial, Diah Input slew
(IDa)sial, siah
Input delay (IDv)Divl, Divh Input slew
(ISv)sivl, sivh
output delay (ODv) D0vDovl, Dovh output slew
(OSv) tvssovl, sovh
output delay (ODa), D0a Doal, Doah output slew
(ODa), tas soal, soah
13
Circuit Model for Directed Search (contd.)
  • Enumerate arcs on drivers
  • Both victim and aggressor net

arc1
arc2
ODv,OSv
ODv,OSv
N1
IDv,ISv
IDv,ISv
arc1 arc2
Victim
cc
cc
IDa,ISa
IDa,ISa
arc3
ODa,OSa
arc3
arc1
arc2
ODv,OSv
arc3 arc4
ODv,OSv
IDv,ISv
IDv,ISv
Aggressor
cc
cc
N2
IDa,ISa
IDa,ISa
ODa,OSa
arc3
arc4
  • Apply Directed Search on 4 possibilities
  • Choose the one that results in worst delay
    push-out

14
Detailed Circuit Model for Directed Search
arc1
ODv,OSv
IDv,ISv
arc1
ODv,OSv
IDv,ISv
Cv Cg (Victim MCF)Cc
cc
ODa,OSa
IDa,ISa
arc3
IDa,ISa
Ca Cg (Aggressor MCF)Cc
ODa,OSa
arc3
Coupled Circuit
Equivalent Circuit
Aggressor
Victim
Input delay (IDa) Dial, Diah Input slew
(IDa)sial, siah
Input delay (IDv)Divl, Divh Input slew
(ISv)sivl, sivh
output delay (ODv) D0vDovl, Dovh output slew
(OSv) tvssovl, sovh
output delay (ODa), D0a Doal, Doah output slew
(ODa), tas soal, soah
15
Gate Delay Model
  • We use logic gates from Faradays 90 nm cell
    libraries
  • Figure (a) shows tvs f1(Cv,siv)
  • Figure (b) shows tas f2(Ca,sia)
  • Figure (c) shows tvd f3(Cv,siv)
  • Figure (d) shows tad f4(Ca,sia)
  • Assuming linear dependance is acceptable
  • Output Waveform on victim
  • Wv G(Div tvd, tvs)
  • Output Waveform on aggressor
  • Wa G(Dia tad, tas)

16
Coupling Model (Das et. al, ICCD 2006)
  • Overlap ratio (k) computation
  • Overlap ratio is defined as the ratio of
    aggressor output waveform that overlap with
    victim threshold voltage
  • Use waveforms Wv and Wa to compute k

17
Coupling Model (Das et. al, ICCD 2006)
  • Use waveforms Wv and Wa to compute k

18
Worst Case Delay Computation
  • Linearly span the domain of k
  • Victim capacitance Cv Cg (12k)Cc
  • Compute tvd and tvs

sivh sivl
sivh sivl
tvs
tvd
cv
cv
cg(12k)cc
cg(12k)cc
  • Aggressor capacitance and slew are given by

19
Worst Case Delay Computation (contd.)
  • Using tas we obtain aggressor capacitance c1,c2
  • tad is calculated using c1 and c2

tas
tad
siah sial
siah sial
ca
ca
c1 c2
c1 c2
  • Worst case delay computation produces
  • Construct Feasible set F
  • Choose one element from F which has worst tvd

20
Outline
  • Motivation and Previous Research
  • Directed Search Approach
  • Static Timer Algorithm
  • Experimental Setup
  • Conclusions and future work

21
Practical Application of Directed Search
  • Victim net coupled with more than one aggressors
  • We model our circuit as directed graph G (V,E)
  • V Gates in combinational circuit
  • E F U C where F Fan-out Edges C Coupling
    Edges
  • We give the following definition

V is the victim node while Ai are its aggressors
22
Worst Case Coupling Capacitance as fix-points
  • We define a switching point as an ordered pair of
    delay and slew
  • Following set gives all possible switching points
    in a k-cluster
  • Set formed by pairs of switching points (si,sj)
    is a totally ordered set
  • Directed Search between an victim and aggressor
    is order preserving transformation
  • Fix-point iteration to get worst case caps

23
Iterative Static Timer Algorithm
24
Outline
  • Motivation and Previous Research
  • Directed Search Approach
  • Static Timer Algorithm
  • Experimental Setup
  • Conclusions and future work

25
Circuit Modeling
  • Experiments done on ISCAS85 benchmarks
  • Circuit modeled as DAG (Timing Graph)
  • Nodes in Timing Graph are Gates
  • Edges represent interconnect
  • Nodes are mapped to ASIC logic gates
  • Faraday 90 nm experimental tech library used
  • Delay tables are used f( output load, input
    slew )
  • Coupling graph generation
  • Extracted coupling capacitance values are used
  • Coupling graph is superimposed on timing graph
  • Each net is assumed to couple with 6 aggressors

26
Accuracy Enhancement Results
  • IST-(0,1,2) Iterative static timer MCFs 0,1,2
    (Sapatnekar et. al)
  • IST-DS Proposed Iterative static timer
  • RT Runtime TA Cell Table Accesses
  • GA Accuracy Gain, GT Gain in Cell Table
    Accesses

27
Accuracy Enhancement Results
  • Hold time given by IST-(0,1,2) can be
    non-conservative
  • Accuracy Gain by proposed algorithm
  • Average 25.59
  • Highest gain C880 45.5
  • Decrease in Cell Delay Table Lookup by proposed
    algorithm
  • Average 40.1
  • Maximum decrease c6288 64.8
  • Decrease in cell delay is not reflected in
    runtime
  • Search has high complexity
  • Search should be used judiciously

28
Outline
  • Motivation and Previous Research
  • Directed Search Approach
  • Static Timer Algorithm
  • Experimental Setup
  • Conclusions and future work

29
Conclusions and future work
  • We present Nostra-XTalk
  • Directed Search Approach for accurate timing
    analysis
  • Iterative static timer using directed search
  • Directed Search is time consuming
  • Directed Search should be selectively applied
  • Can be used in a coupling partitioning based
    timer
  • As proposed by Das et. al ICCD 2006
  • Directed Search can be applied on local clusters
  • Future Directions
  • Devise algorithms
  • Selectively apply Directed Search
  • Accurate as well as efficient analysis
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