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www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
43 Copyright © 2018. IJEMR. All Rights Reserved.
Volume-8, Issue-4, August 2018
International Journal of Engineering and Management Research
Page Number: 43-45
DOI: doi.org/10.31033/ijemr.8.4.4
AMS SoC Formal Verification based on Hybrid Scheme
S.M. Ramesh1
, B. Gomathy2
and T.V.P. Sundararajan3
1
Professor, Department of ECE, St. Martin’s Engineering College, Hyderabad, INDIA
2
Associate Professor, Department of CSE, Bannari Amman Institute of Technology, Sathyamangalam, INDIA
3
Professor, Department of ECE, Sri Shakthi Institute of Engineering & Technology, Coimbatore, INDIA
1
Corresponding Author: drsmramesh@gmail.com
ABSTRACT
This paper proposes for AMS SoC formal
verification based on Hybrid Scheme combined with symbolic
computing and LHPN model, FV-HS. The paper is concerned
with a class of AMS designs, continuous-time AMS designs
i.e., tunnel diode oscillator for research target. Firstly,
Labeled Hybrid Petri Net model is established for safety
property verification of tunnel diode oscillator, then
mathematical expression for this model is extracted for
efficiency enhancement, and then proof policy built in
computer algebra Maple is applied to the corresponding
LHPN model for tunnel diode oscillator to verify the
property. The proposed method is implemented on tunnel
diode oscillator and experiment results demonstrate the
advantages of the proposed method over previous method.
The proposed method overcomes the drawbacks of LHPN,
makes full use of the merits of LHPN and symbolic
computing, simplifies the workflow of algorithm and
enhances the efficiency.
Keywords— AMS SoC, Formal verification, Labeled
Hybrid Petri Net, Symbolic computing
I. INTRODUCTION
Embedded components are becoming core in a
growing range of electronic devices. Cornerstones of
embedded systems are analog and mixed signal (AMS)
designs, which are integrated circuits indispensible at the
interface between electronic system and the real world
environment. Analog circuit helps to secure the correct and
steady operation of system. It follows that AMS design has
become the necessity in people’s daily life. Therefore
formal verification for AMS design is extremely important
for SoC design and account for the most efforts and time
of the IC designers. These AMS circuits are mostly used in
safety-crucial systems such as communication vehicles,
ABS system etc. Research materials show that nowadays
of 75% circuits are AMS circuits, while 50% faults occur
on analog part [1]. Therefore it is increasingly important
for designers to ensure the correctness of AMS circuit
design. Formal verification is among the techniques to
secure the correctness of AMS design.
Checkmate developed by CMU researchers is
used to verify diode oscillator and Σ-Δ demodulator, and
d/dt is applied to verify bi-quadratic low pass filter [2-5].
Discrete analog transition structure (DATS) is proposed by
Sebastian to accurately express optimization of nonlinear
analog circuit. The accuracy of the proposed model is
close to instant analysis with less number of states. The
corresponding algorithm for formal verification of AMS
SoC maps the partition into DATS. Such method is able to
detect the errors hidden in circuit design [6]. Labeled
Hybrid Petri Net (LHPN) is developed for formal
verification of AMS design [7]. LHPN outperforms
pervious methods in that previous ones mostly require the
designers to master hybrid automaton or hybrid Petri Net
for AMS description, and they does not necessarily follow
the rigid Hardware Description Language requirements;
with LHPN, the designers can describe the AMS circuits
of interest using their familiar language therefore LHPN
becomes more popular and universal. LHPN can deal with
heterogeneous components of AMS system, e.g. the analog
parts and digital parts. In [8], a novel method of symbol
computing is proposed for property verification of AMS
design. The major idea is to verify AMS design using the
same way as SAT, BDD based formal verification for
digital system, to verify system automatically. This paper
describes a novel verification frame work for the
verification of AMS SoC that support intervals on the rates
of change for the continuous variables. The proposed
method begins with a model of the AMS SoC described
using LHPN. VHDL-AMS allows the designers to use it to
describe AMS SoC and the description is compiled into
www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
44 Copyright © 2018. IJEMR. All Rights Reserved.
LHPN automatically. Then maple inbuilt proof policy is
utilized accordingly for further property verification for
tunnel diode oscillator. If the property is verified then the
proposed algorithm terminates, otherwise a counter-
example against the design model can be obtained, then
the verification is complete and a failure is reported.
II. LHPN MODEL DESIGN
Figure 1 shows an LHPN model for the tunnel
diode oscillator, when the circuit is launched, the tunnel
diode oscillator is experiencing transition period from
event p1 to node N1 from initial node N0, then such token is
removed from the preset for transition period p1, added to
the post set for transition period p1, when system transit
from event p2 to node N2, the token is removed from the
preset of places for transition period p2, added to the post
set of places for it, and system transits period from event
p3 to node N3, token is removed from preset of places and
added to post set of p3, and then remains in node N3
therefore oscillating behavior cannot be accomplished.
While in Figure 2, starting from one node, tunnel diode
oscillator transits period from p1, p2 and p3 sequentially to
conduct behavior of oscillating.
Figure 1: LHPN model for TDO non-oscillating node
Figure 2: LHPN model for TDO oscillating node
III. RESULT SUMMARY
Table I shows the experimental results
comparison among PHAVer [8], LHPN [6] and the
proposed method. The parameters used for the experiment
stems from [2]. The initial conditions are Il ∈ [0.4,0.5]
mA,Vc∈ [0.4,0.5]v. Our verification aims at modeling for
oscillating behavior and non-oscillating behavior of tunnel
diode oscillator using 16-bit discrete regions under specific
circuit parameters and initial conditions. When R = 200Ω,
LHPN model uses 14.62s for property verification. 17703
state sets are found in 14.62s when R = 242Ω, 1826 state
sets are found in 0.34s when R = 242Ω. We tried to use
tool HYTECH for the verification without success due to
overflow errors. PHAVer model checking accomplish
oscillating property checking for tunnel diode oscillator
within 72.8s, however the proposed method only takes
11.93s, hence achieves higher efficiency than that in [6].
TABLE I
COMPARISONS ON TUNNEL DIODE OSCILLATOR
Approach
PHAVer[8]
LHPN[6]
Proposed
Instance Time(s) OK? Time(s) OK? Time(s) OK?
TDO (non-
oscillating)
N.R. N/A 0.34 No 0.31 No
TDO
(Oscillating)
72.8 N/A 14.62 Yes 11.93 Yes
IV. CONCLUSION
This paper describes the formal verification for
AMS SoC, FV-HS tunnel diode oscillator is taken for
instance for formal verification of AMS SoC. The
proposed method has been applied to tunnel diode
oscillator; it can be automatically integrated into the
application flow and overcomes the limits of bounded time
for exhaustive method. The proposed method achieves low
complexity and high efficiency.
REFERENCES
[1] Gupta S., Krogh B. H., & Rutenbar R. A. (2004).
Towards formal verification of analog designs.
International Conference on Computer-Aided Design, 210-
217
[2] Dang T., Donze A., & Maler O. (2004). Verification of
analog and mixed-signal circuits using hybrid systems
techniques. Formal Methods for Computer Aided Design,
21-36.
[3] Sebastian, S. & Lars, H. (2012). Trajectory-directed
discrete state space modeling for formal verification of
N0
p1
N1
p2
p3
N2 N3
www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
45 Copyright © 2018. IJEMR. All Rights Reserved.
nonlinear analog circuits. IEEE/ACM International
Conference on Computer-Aided Design, Digest of
Technical Papers, 202-209
[4] Singh, A. K., Lok, M., Ragab, K., Caramanis, C., &
Orshansky, M. (2010). An Algorithm for Exploiting
Modeling Error Statistics to Enable Robust Analog
Optimization, IEEE/ACM International Conference on
Computer-Aided Design, Digest of Technical Papers, 62-
69
[5] Al-Sammane, G., Zaki, & M.H.,Tahar, S. (2007). A
symbolic methodology for the verification of analog and
mixed signal designs. Proceedings of the conference on
Design, automation and test in Europe, 249-254
[6] Little,S., Walter, D., Myers, C., Thacker, R., Batchu,
S., & Yoneda, T. (2011). Verification of analog/mixed-
signal circuits using labeled hybrid Petri nets. IEEE
Transactions on computer-aided design of integrated
circuits and systems, 30(4), 617-630
[7] Frehse, G., Krogh, B. H., & Rutenbar, R.A. (2006).
Verifying analog oscillator circuits using
forward/backward refinement. In Proc. Design,
Automation and Test in Europe (DATE), IEEE Computer
Society Press, 257-262.
[8] Hartong, W., Hedrich, L., & Barke, E. (2002). Model
checking algorithms for analog verification. Proceedings
of DAC, 542-547.
[9] Henzinger, T.A., Hho, P., & Wong-Toi, H. (1997).
HyTech: a model checker for hybrid Systems. Software
Tools for Technology Transfer [J], 110-122.
[10] M. Alassir, J. Denoulet, O. Romain, & P. Garda.
(2014). Signal integrityaware virtual prototyping of field
bus-based embedded systems. IEEE Transactions on
Components, Packaging and Manufacturing Technology,
3(12), 2081–2091.

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AMS SoC Formal Verification based on Hybrid Scheme

  • 1. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 43 Copyright © 2018. IJEMR. All Rights Reserved. Volume-8, Issue-4, August 2018 International Journal of Engineering and Management Research Page Number: 43-45 DOI: doi.org/10.31033/ijemr.8.4.4 AMS SoC Formal Verification based on Hybrid Scheme S.M. Ramesh1 , B. Gomathy2 and T.V.P. Sundararajan3 1 Professor, Department of ECE, St. Martin’s Engineering College, Hyderabad, INDIA 2 Associate Professor, Department of CSE, Bannari Amman Institute of Technology, Sathyamangalam, INDIA 3 Professor, Department of ECE, Sri Shakthi Institute of Engineering & Technology, Coimbatore, INDIA 1 Corresponding Author: drsmramesh@gmail.com ABSTRACT This paper proposes for AMS SoC formal verification based on Hybrid Scheme combined with symbolic computing and LHPN model, FV-HS. The paper is concerned with a class of AMS designs, continuous-time AMS designs i.e., tunnel diode oscillator for research target. Firstly, Labeled Hybrid Petri Net model is established for safety property verification of tunnel diode oscillator, then mathematical expression for this model is extracted for efficiency enhancement, and then proof policy built in computer algebra Maple is applied to the corresponding LHPN model for tunnel diode oscillator to verify the property. The proposed method is implemented on tunnel diode oscillator and experiment results demonstrate the advantages of the proposed method over previous method. The proposed method overcomes the drawbacks of LHPN, makes full use of the merits of LHPN and symbolic computing, simplifies the workflow of algorithm and enhances the efficiency. Keywords— AMS SoC, Formal verification, Labeled Hybrid Petri Net, Symbolic computing I. INTRODUCTION Embedded components are becoming core in a growing range of electronic devices. Cornerstones of embedded systems are analog and mixed signal (AMS) designs, which are integrated circuits indispensible at the interface between electronic system and the real world environment. Analog circuit helps to secure the correct and steady operation of system. It follows that AMS design has become the necessity in people’s daily life. Therefore formal verification for AMS design is extremely important for SoC design and account for the most efforts and time of the IC designers. These AMS circuits are mostly used in safety-crucial systems such as communication vehicles, ABS system etc. Research materials show that nowadays of 75% circuits are AMS circuits, while 50% faults occur on analog part [1]. Therefore it is increasingly important for designers to ensure the correctness of AMS circuit design. Formal verification is among the techniques to secure the correctness of AMS design. Checkmate developed by CMU researchers is used to verify diode oscillator and Σ-Δ demodulator, and d/dt is applied to verify bi-quadratic low pass filter [2-5]. Discrete analog transition structure (DATS) is proposed by Sebastian to accurately express optimization of nonlinear analog circuit. The accuracy of the proposed model is close to instant analysis with less number of states. The corresponding algorithm for formal verification of AMS SoC maps the partition into DATS. Such method is able to detect the errors hidden in circuit design [6]. Labeled Hybrid Petri Net (LHPN) is developed for formal verification of AMS design [7]. LHPN outperforms pervious methods in that previous ones mostly require the designers to master hybrid automaton or hybrid Petri Net for AMS description, and they does not necessarily follow the rigid Hardware Description Language requirements; with LHPN, the designers can describe the AMS circuits of interest using their familiar language therefore LHPN becomes more popular and universal. LHPN can deal with heterogeneous components of AMS system, e.g. the analog parts and digital parts. In [8], a novel method of symbol computing is proposed for property verification of AMS design. The major idea is to verify AMS design using the same way as SAT, BDD based formal verification for digital system, to verify system automatically. This paper describes a novel verification frame work for the verification of AMS SoC that support intervals on the rates of change for the continuous variables. The proposed method begins with a model of the AMS SoC described using LHPN. VHDL-AMS allows the designers to use it to describe AMS SoC and the description is compiled into
  • 2. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 44 Copyright © 2018. IJEMR. All Rights Reserved. LHPN automatically. Then maple inbuilt proof policy is utilized accordingly for further property verification for tunnel diode oscillator. If the property is verified then the proposed algorithm terminates, otherwise a counter- example against the design model can be obtained, then the verification is complete and a failure is reported. II. LHPN MODEL DESIGN Figure 1 shows an LHPN model for the tunnel diode oscillator, when the circuit is launched, the tunnel diode oscillator is experiencing transition period from event p1 to node N1 from initial node N0, then such token is removed from the preset for transition period p1, added to the post set for transition period p1, when system transit from event p2 to node N2, the token is removed from the preset of places for transition period p2, added to the post set of places for it, and system transits period from event p3 to node N3, token is removed from preset of places and added to post set of p3, and then remains in node N3 therefore oscillating behavior cannot be accomplished. While in Figure 2, starting from one node, tunnel diode oscillator transits period from p1, p2 and p3 sequentially to conduct behavior of oscillating. Figure 1: LHPN model for TDO non-oscillating node Figure 2: LHPN model for TDO oscillating node III. RESULT SUMMARY Table I shows the experimental results comparison among PHAVer [8], LHPN [6] and the proposed method. The parameters used for the experiment stems from [2]. The initial conditions are Il ∈ [0.4,0.5] mA,Vc∈ [0.4,0.5]v. Our verification aims at modeling for oscillating behavior and non-oscillating behavior of tunnel diode oscillator using 16-bit discrete regions under specific circuit parameters and initial conditions. When R = 200Ω, LHPN model uses 14.62s for property verification. 17703 state sets are found in 14.62s when R = 242Ω, 1826 state sets are found in 0.34s when R = 242Ω. We tried to use tool HYTECH for the verification without success due to overflow errors. PHAVer model checking accomplish oscillating property checking for tunnel diode oscillator within 72.8s, however the proposed method only takes 11.93s, hence achieves higher efficiency than that in [6]. TABLE I COMPARISONS ON TUNNEL DIODE OSCILLATOR Approach PHAVer[8] LHPN[6] Proposed Instance Time(s) OK? Time(s) OK? Time(s) OK? TDO (non- oscillating) N.R. N/A 0.34 No 0.31 No TDO (Oscillating) 72.8 N/A 14.62 Yes 11.93 Yes IV. CONCLUSION This paper describes the formal verification for AMS SoC, FV-HS tunnel diode oscillator is taken for instance for formal verification of AMS SoC. The proposed method has been applied to tunnel diode oscillator; it can be automatically integrated into the application flow and overcomes the limits of bounded time for exhaustive method. The proposed method achieves low complexity and high efficiency. REFERENCES [1] Gupta S., Krogh B. H., & Rutenbar R. A. (2004). Towards formal verification of analog designs. International Conference on Computer-Aided Design, 210- 217 [2] Dang T., Donze A., & Maler O. (2004). Verification of analog and mixed-signal circuits using hybrid systems techniques. Formal Methods for Computer Aided Design, 21-36. [3] Sebastian, S. & Lars, H. (2012). Trajectory-directed discrete state space modeling for formal verification of N0 p1 N1 p2 p3 N2 N3
  • 3. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 45 Copyright © 2018. IJEMR. All Rights Reserved. nonlinear analog circuits. IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, 202-209 [4] Singh, A. K., Lok, M., Ragab, K., Caramanis, C., & Orshansky, M. (2010). An Algorithm for Exploiting Modeling Error Statistics to Enable Robust Analog Optimization, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, 62- 69 [5] Al-Sammane, G., Zaki, & M.H.,Tahar, S. (2007). A symbolic methodology for the verification of analog and mixed signal designs. Proceedings of the conference on Design, automation and test in Europe, 249-254 [6] Little,S., Walter, D., Myers, C., Thacker, R., Batchu, S., & Yoneda, T. (2011). Verification of analog/mixed- signal circuits using labeled hybrid Petri nets. IEEE Transactions on computer-aided design of integrated circuits and systems, 30(4), 617-630 [7] Frehse, G., Krogh, B. H., & Rutenbar, R.A. (2006). Verifying analog oscillator circuits using forward/backward refinement. In Proc. Design, Automation and Test in Europe (DATE), IEEE Computer Society Press, 257-262. [8] Hartong, W., Hedrich, L., & Barke, E. (2002). Model checking algorithms for analog verification. Proceedings of DAC, 542-547. [9] Henzinger, T.A., Hho, P., & Wong-Toi, H. (1997). HyTech: a model checker for hybrid Systems. Software Tools for Technology Transfer [J], 110-122. [10] M. Alassir, J. Denoulet, O. Romain, & P. Garda. (2014). Signal integrityaware virtual prototyping of field bus-based embedded systems. IEEE Transactions on Components, Packaging and Manufacturing Technology, 3(12), 2081–2091.