SlideShare a Scribd company logo
http://www.iaeme.com/IJECET/index.asp 9 editor@iaeme.com
International Journal of Electronics and Communication Engineering & Technology
(IJECET)
Volume 7, Issue 2, March-April 2016, pp. 09-17, Article ID: IJECET_07_02_002
Available online at
http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=2
Journal Impact Factor (2016): 8.2691 (Calculated by GISI) www.jifactor.com
ISSN Print: 0976-6464 and ISSN Online: 0976-6472
© IAEME Publication
AN EFFICIENT ALGORITHM FOR
WRAPPER AND TAM CO-OPTIMIZATION
TO REDUCE TEST APPLICATION TIME IN
CORE BASED SOC
Harikrishna Parmar
ECC Department, Nirma University
Ahmedabad, India
Dr.Usha Mehta
ECC Department, Nirma University
Ahmedabad, India
ABSTRACT
System-on-Chip (SOC) designs composed of many embedded cores are
ubiquitous in today’s integrated circuits. Each of these cores requires to be
tested separately after manufacturing of the SoC. That’s why, modular testing
is adopted for core-based SoCs, as it promotes test reuse and permits the
cores to be tested without comprehensive knowledge about their internal
structural details. Such modular testing triggers the need of a special test
access mechanism (TAM) to build communication between core I/Os and
TAM and promises to minimize overall test time. In this paper, various issues
are analyzed to optimize the Wrapper and TAM, which comprises the optimal
partitioning of TAM width, assignment of cores to partitioned TAM width etc.
Key words: TAM; SOC; Core Assignment; Test Bus Architecture, Test
Wrapper
Cite this Article: Harikrishna Parmar and Dr.Usha Mehta. An Efficient
Algorithm For Wrapper and Tam Co-Optimization To Reduce Test
Application Time In Core Based SOC. International Journal of Electronics
and Communication Engineering & Technology, 7(2), 2016, pp. 09-17.
http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=2
1. INTRODUCTION
A conceptual modular testing is presented in [1], which includes three structural
elements. 1. Test pattern source, 2. Sink and 3. The TAM and the test wrapper. Now a
day, In large SoC, embedded cores are commonplace. Since embedded cores are not
straight away approachable through chip’s inputs and outputs, the special TAM is
Harikrishna Parmar and Dr.Usha Mehta
http://www.iaeme.com/IJECET/index.asp 10 editor@iaeme.com
needed to test the core at the system level [1] [2]. TAM establishes communication
between the cores and chip input-output and does the job of transferring test data from
chip input-output to the core and vice versa. Test wrapper establishes an interface
between the core and its environment. TAM is essential for modular testing, because
it instantly influences testing time of SoC. The present IEEE 1500 standard describes
wrapper design only and leaves optimization of TAM to the system designer.
Therefore, optimization of TAM is a functional area of research.
A number of TAM architectures, which are working on different heuristics and
algorithm, are proposed in [3]-[18]. The main motto of all these TAM architecture is
to reduce testing time of SoC.
Here, in this paper, an improved TAM is presented for the test bus architecture to
get optimal testing time of SoC.
The whole paper is organized as follows. Section II discusses the prior work on
TAM in 2D SoC. The Problem statement is described in section III. Mathemtical
model referred to establish the problem statement is shown in section IV, whereas
section V discusses the experimental result analysis. Finally, section VI draws the
conclusion.
2. PRIOR WORK
Mainly there are three kinds of test access architectures [3]. 1. Multiplexing, 2.
Distribution and 3. Daisychain architecture [4]-[7]. By using these architectures, a test
bus and TestRail architecture were proposed in [8] and [9] respectively.
A novel approach to reduce the test time of SoC is proposed in [10], which is
based on genetic local search algorithm. The proposed method resolves the problem
of TAM under the restriction such as core cluster and core placement cluster. The
method allows the system designer to improve TAM and helps to make appropriate
choices.
Another approach to reduce test time based on the bandwidth matching concept is
shown in [11], which emphasizes the multi-frequency TAM design. Using the method
of serialization and deserialization, a high bandwidth source and sink are connected to
the low bandwidth source and sink until bandwidth matches. In the second approach,
the problem with the post-silicon validation method, which has limited debug access
bandwidth to access internal signals, is described in [12].
The TAM based on flexible width architecture is shown in [13]. In this method,
first lower bound of test time is set which does not depend on TAM structure and then
the test bus assignment is done in such a way that, it achieves that lower bound.
A TAM for the multiple identical cores is shown in [14], which utilize the uniform
nature of the core and applies test simultaneously, which helps to minimize test time
for core under test. In an another approach, testing of multiple identical core is done
in such a way that, instead of taking typical test response data from the core, it takes a
majority based value. The TAM architecture introduced in this paper is based on-chip
comparator and majority analyzer [15] [16]. Reconfiguration of the multiple scan
chain to minimize test application time for SoC is presented in [17].
Here, the whole paper is designed for the optimization of TAM for the test bus
architecture. The architecture and results discussed in [18] and [19] is taken as a
reference. The algorithm described to optimize Wrapper and TAM in test bus
architecture is again developed and improved to get a further reduction in the test
application time.
An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application
Time In Core Based SOC
http://www.iaeme.com/IJECET/index.asp 11 editor@iaeme.com
3. PROBLEM STATEMENT
For the given NC number of cores for the SoC, including ni number of inputs, mi
number of outputs, TAM width W, SC number of scan chain and length of scan chain
lik for each core and Pi number of test patterns, determine (i) The improved width of
TAM bus (ii) ideal partition for TAM bus (iii) The assignment of cores to the
partitioned TAM bus and (iv) The test schedule for the entire SoC, such that overall
test application time is minimized.
4. MATHEMATICAL MODEL
Initialization
Let the total number of cores are NC
Total number of input for a particular core is - n
Total number of output for a particular core is – m
Number of test pattern given in a particular core is - P
TAM width allocated is – W
Number of partition taken for TAM width W is – B
So, Width distribution is taken as if partition factor is two
W1(i) = i
W2(i) = W- i
Where i varies from 1 to W/2
Here, a new variable ø is defined as
Ø(i) = max(n(i),m(i))
Where i varies from 1 to NC
Balance Wrapper Scan Chin
Lets number of scan chain inside a particular core is Sc.
Length of each scan chain is given as l1,l2…..lsc
Number of scan chain of length l1,l2…lsc is Z1,Z2….Zsc
Now divide number of scan chain Z1,Z2…..Zn by width W and find quotient an
remainder.
Q1=Z1/W R1 = Z1%W
Q2=Z2/W R2= Z1%W
Qn=Zn/W Rn=Zn%W
Here, Quotient indicates that these many scan chain can be equally distributed on
TAM width W.
Remainder indicates that these many scan chains are needed to be distributed
separately.
Now take the sum of the remainder
Rsum=
Harikrishna Parmar and Dr.Usha Mehta
http://www.iaeme.com/IJECET/index.asp 12 editor@iaeme.com
If Rsum<W, Then
Sum2(i)= + R(i)
Now, distribute and add number of I/O to sum2(i) such that the balance wrapper
scan chain is formed.
Sum3(i) = + m/W
Now find longest and shortest scan chain length
Simax = max(Sum3(i))
Where i varies from 1 to Sc
Simin = min(Sum3(i))
Where i varies from 1 to Sc
If Rsum>W, Then
Now, distribute and add remainders and number of Inputs to sum2(i) such that the
balance wrapper scan chain is generated.
Sum3(i) = + m/W + R(i)
Now find longest and shortest scan chain length
Simax = max(Sum3(i))
Where i varies from 1 to Sc
Simin = min(Sum3(i))
Where i varies from 1 to Sc
Simax and Simin is the balance input wrapper scan chain
Repeat this procedure for Balance output wrapper scan chain to find out Somax and
Somin
Test Time Calculation
Calculate test application time of each core for width W1 as per the equation given
below and store it in array A
A(i) = (1+max(Simax,Somax))*P + min(Simin,Somin)
Where i varies from 1 to NC
Calculate test application time of each core for width W1 as per the equation given
below and store it in array B
B(i) = (1+max(Simax,Somax))*P + min(Simin,Somin)
Where i varies from 1 to NC
Test Scheduling
Sort array A and array B in Descending order.
Calculate cumulative test time of all cores from array A
P1 =
Calculate cumulative test time of all cores from array
P2 =
An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application
Time In Core Based SOC
http://www.iaeme.com/IJECET/index.asp 13 editor@iaeme.com
P=min(P1,P2)
Take P as a upper bound for further procedure
Now, add array A and B
C(i)= +
If number of cores is greater than 10 then distribute cores into number of
segments. The first segment must contain 10 cores. The succeeding each segment may
contain up to 10 cores.
Here, the model is shown for 3 segments with assumption that there are 30 cores
in a SoC.
Store the test time for the first 10 core in an array X
X1(k)=C(i)
Where i and k varies from 1 to 10
X2(k)=C(i)
Where i varies from 11 to 20 and k varies from 1to 10
X3(k)=C(i)
Where i varies from 21 to 30 and k varies from 1to 10
Test scheduling for segment 1:
Upper bound for test time is PH = P
Lower bound of the test time is given as
PL =
Find the sum of the test time of the cores in array X1 for a given limit of upper
and lower bound and store it in array D1.
Find the sum of the test time of the cores in array X1a for a given limit of upper
and lower bound and store it in array D2.
Find the sum of the test time of the cores in array X1b for a given limit of upper
and lower bound and store it in array D3.
Find the length of D1.
L1=length(D1)
Find maximum from array D1, D2 and D3
EH1 = max(D1)
EH2 = max(D2)
EH3 = max(D3)
Test scheduling for segment 2:
Upper bound = EH1
Lower bound = EL =
Where i varies from 21to 30
Find the sum of the test time of the cores in array X2 for a given limit of upper
and lower bound and store it in array F1.
Find the sum of the test time of the cores in array X2a for a given limit of upper
and lower bound and store it in array F2.
Harikrishna Parmar and Dr.Usha Mehta
http://www.iaeme.com/IJECET/index.asp 14 editor@iaeme.com
Find the sum of the test time of the cores in array X2b for a given limit of upper
and lower bound and store it in array F3.
Find the length of F1.
L1=length(F1)
Test scheduling for segment 3:
Initialize a variable k1=1
Upper bound = F1(i)
Where i varies from 1to L2
Lower bound = EL = C(Nc)
Find the sum of the test time of the cores in array X3 for a given limit of upper
and lower bound and store it in array G1(k1) and update array for every iteration from
i =1 to L2. Also update k1.
Find the sum of the test time of the cores in array X3a for a given limit of upper
and lower bound and store it in array G2(k1) and update array for every iteration from
i =1 toL2. Also update k1.
Find the sum of the test time of the cores in array X3b for a given limit of upper
and lower bound and store it in array G3(k1) and update array for every iteration from
i =1 toL2. Also update k1. Find the length of G1 and update the values of last array.
L3=length(G1)
H1(j)=
H2(j)=
H3(j)=
Update j and H1,H2,H3 for every iteration.
Now, take P, EH2 and EH3 from segment 1
J1(i) = )
J2(i)=P-
Find maximum from two array J1 and J2
J(i)= max(J1(i),J2(i))
Where i varies from 1 to L3
Find Minimum value fro array J
Q=min(J(i))
Where i varies from 1 to L3
Find Minimum value fro array J
Q=min(J(i))
Where i varies from 1 to L3
Q is the final answer
5. EXPERIMENTAL RESULT ANALYSIS
Here SoC d695 and P93791 is taken as a running example throughout this paper to
understand the fundamental of test optimization methodology.
Here the experimental results are shown in table I, II and III when TAM bus width
is partitioned by 2. Also, the proposed method is compared with the reference
An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application
Time In Core Based SOC
http://www.iaeme.com/IJECET/index.asp 15 editor@iaeme.com
approach [18] and [19] which shows the optimality of the proposed method.
Simulation results achieved in this paper are done in MATLAB.
6. CONCLUSION
In this paper, an improved algorithm for the test bus architecture is presented and the
simulation is done on SoC d695 and P93791. Through extensive simulation on given
SoC, it is observed that with the proposed algorithm, the testing time is reduced
significantly as compared to the approach given in the reference. It has also been
noticed that the achieved TAM bus width distribution and core assignment is an
optimum value for the testing time earned with the proposed algorithm.
Table I Simulation results for SoC D695
Total TAM
Width
Optimal Width
Distribution
From ref paper
[18]
(No. of clocks)
From proposed
algo
(No. of clocks)
Difference
(No. of clocks)
16 (7,9) 45055 44116 939
20 (4,16) 34444 34437 7
24 (5,19) 29501 29240 261
28 (8,20) 26964 26828 136
32 (12,20) 25442 24779 663
36 (16,20) 25312 23193 2119
40 (8,32) 21359 21314 45
44 (9,35) 20883 20232 651
48 (10,38) 19938 19707 231
52 (18,34) 19087 18783 304
56 (20,36) 18434 18130 304
60 (20,40) 18205 18019 186
64 (20,44) 18205 17946 259
Table II Simulation results for SoC P93791 (Comparision with ref paper [18])
Total TAM
Width
Optimal Width
Distribution
From ref
paper[18]
(No. of clocks)
From proposed
algo
(No. of clocks)
Difference
(No. of clocks)
16 (8,8) 1806550 1683418 123132
20 (8,12) 1453170 1356828 96342
24 (12,12) 1217630 962058 255572
28 (5,23) 1031200 868112 163088
32 (9,23) 899807 867746 32061
36 (12,24) 820232 781852 38380
40 (16,24) 751345 707549 43796
44 (17,27) 711256 694132 17124
48 (23,25) 634488 589031 45457
52 (6,46) 600218 534109 66109
56 (9,47) 533752 505877 27875
60 (13,47) 505885 483857 22028
64 (16,48) 475598 464905 10693
Harikrishna Parmar and Dr.Usha Mehta
http://www.iaeme.com/IJECET/index.asp 16 editor@iaeme.com
Table III Simulation results for SoC P93791 (Comparision with ref paper [19])
Total TAM
Width
Optimal Width
Distribution
From ref
paper[19]
(No. of clocks)
From proposed
algo
(No. of clocks)
Difference
(No. of clocks)
16 (8,8) 1854566 1683418 171148
24 (12,12) 1272220 1134381 137839
32 (9,23) 940318 868112 72206
40 (16,24) 765715 706617 59098
48 (23,25) 640488 587775 52713
56 (9,47) 551849 494999 56850
64 (16,48) 473726 449967 23759
REFERENCES
[1] Y. Zorian, E. Marinissen, and S. Dey, Testing embedded-core-based system
chips,” Computer, vol. 32, no. 6, pp. 52–60, 1999.
[2] J. Marinissen, Y. Zorian, R. Kapur, T. Taylor and T. Whetsel, Towards a standard
for embedded core test: an example”, Proceeding of the International Test
conference, pp.616~627, 1999.
[3] K. Chakrabarty, “Optimal test access architectures for system-on-chip”, ACM
Transactions on Design Automation of Electronic System, Vol.6, no.1. January
2001, pp. 26~49
[4] V Iyengar, K. Chakrabarty, and E Marinissen, Test wrapper and test access
mechanism co-optimization for system-on-chip, Journal of Electronic Testing:
Theory and Applications, vol. 18, pp. 213–230, 2002.
[5] N. Nicolici and Xu, “Resource-constrained system-on-a-chip test: a survey,” IEE
Proc. Computers and Digital Techniques, vol.152, no. 1, pp. 67–81, 2005.
[6] Z. Peng, E. Larsson, K. Arvidsson and H. Fujiwara, Efficient test solutions for
core-based designs, TCAD, vol.23,no.5,pp.758–775, 2004.
[7] S Goel and E Marinissen, “Effective and Efficient Test Architecture Design for
SOCs”, In Proceedings IEE(ITC), pages 529–538, Baltimore, MD, Oct. 2002.
[8] S Bhatia and P Varma, “A Structured Test Reuse Methodology for Core-based
System Chips”, In Proc. ITC pages 294–302, 1998.
[9] J. Marinissen, “A Structured and Scalable Mechanism for Test Access to
Embedded Reusable Cores”, In Proceedings IEEE International Test Conference
(ITC), pages 284–293, Oct. 1998.
[10] W. Huang, Y Wang, “Optimizing Test Access Mechanism Under Constraints by
Genetic Local Search Algorithm”, Proc. ATS, 2003.
[11] N. Nicolici,Q. Xu, “Multi-frequency Test Access Mechanism design for Modular
SOC Testing,” In Proceedings 13th ATS, pp. 2-7, Nov. 2004.
[12] X Liu, Q Xu, “On Reusing Test Access Mechanisms for Debug Data Transfer in
SoC Post-Silicon Validation”, Proceeding IEEE Asian Test Symposium, pp-303-
308, 2008
[13] F Jianhua, L Jieyi, X Wenhua and Y Hongfei, “An Improved Test Access
Mechanism Structure and Optimization technique in System-on-Chip”,
Proceedings of the 2005 Asia and South Pacific Design Automation Conference,
Pages 23-24,2005
An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application
Time In Core Based SOC
http://www.iaeme.com/IJECET/index.asp 17 editor@iaeme.com
[14] G. Giles, J. Wang, A. Sehgal, K. Balakrishnan, and J. Wingfield, “Test access
mechanism for multiple identical cores,” in Proc. IEEE Int. Test Conf., Oct.
2008, pp. 1–10.
[15] A Han, I Choi, and S Kang, “Majority-Based Test Access Mechanism for Parallel
Testing of Multiple Identical Cores”, IEEE transaction on VLSI Ssystems, pp-1,
2014
[16] H Ke, D Zhongliang, H Jianming, “Boundary Scan with Parallel Test Access
Mechanism”, The Ninth International Conference on Electronic Measurement &
Instruments, pp – 16-19,2009
[17] J Rau, P Wu, W Huang, C Chien and C Chen, “Optimal Test Access Mechanism
(TAM) for Reducing Test Application Time of Core-Based SOCs”, Tamkang
Journal of Science and Engineering, Vol. 13, No. 3, pp. 305_314 , 2010
[18] K Chakrabarty V. Iyengar, A. Chandra, “Test resource partitioning for system-
on-a-chip.” Frontiers in Electronic Testing, Vol. 20, 2002.
[19] S Goel, J Marinissen, A Sehgal and K Chakravarti “Testing of SoCs with
Hierarchical Cores: Common Fallacies, Test Access Optimization, and Test
Scheduling “IEEE Transactions On Computers, Vol. 58, No. 3, March 2009

More Related Content

PDF
MAXIMUM POWER POINT TRACKING WITH ARTIFICIAL NEURAL NET WORK
PDF
A Neural Network Based MPPT Technique Controller for Photovoltaic Pumping System
PDF
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
PDF
2013 a comparative_study_on_mppt_techniques_for_pv_power_systems-libre
PDF
Application and Comparison Between the Conventional Methods and PSO Method fo...
PPTX
MPPT using P&O method and ANN method in solar PV array
MAXIMUM POWER POINT TRACKING WITH ARTIFICIAL NEURAL NET WORK
A Neural Network Based MPPT Technique Controller for Photovoltaic Pumping System
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
2013 a comparative_study_on_mppt_techniques_for_pv_power_systems-libre
Application and Comparison Between the Conventional Methods and PSO Method fo...
MPPT using P&O method and ANN method in solar PV array

What's hot (20)

PDF
R050801280132
PPTX
Solar PV Model With MPPT (P & O method)
PDF
MAXIMUM POWER POINT TRACKING METHODS OF PV SYSTEM
PDF
An Advanced MPPT Based on Artificial Bee Colony Algorithm for MPPT Photovolta...
PPTX
maximum power point tracking (mppt)
PDF
Adaptive Neuro-Fuzzy Inference System-based Improvement of Perturb and Observ...
PDF
Enhanced MPPT Technique For DC-DC Luo Converter Using Model Predictive Contro...
PDF
Comparison of Maximum Power Point Technique for Solar Photovoltaic Array
PPTX
solar Mppt
PPTX
Maximumpowerpoint trackingtechniquesforphotovoltaic
PDF
A hybrid maximum power point tracking for partially shaded photovoltaic syste...
PDF
Perturb and observe maximum power point tracking for photovoltaic cell
PDF
PV array connected to the grid with the implementation of MPPT algorithms (IN...
PDF
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...
PPTX
Control of Grid-tied solar photovoltaic power using quasi z-source inverter a...
PDF
Simulation and hardware implementation of change in
PDF
Simulation of incremental conductance mppt with
PDF
Solar Presentation.pptx
PDF
40220130406008
R050801280132
Solar PV Model With MPPT (P & O method)
MAXIMUM POWER POINT TRACKING METHODS OF PV SYSTEM
An Advanced MPPT Based on Artificial Bee Colony Algorithm for MPPT Photovolta...
maximum power point tracking (mppt)
Adaptive Neuro-Fuzzy Inference System-based Improvement of Perturb and Observ...
Enhanced MPPT Technique For DC-DC Luo Converter Using Model Predictive Contro...
Comparison of Maximum Power Point Technique for Solar Photovoltaic Array
solar Mppt
Maximumpowerpoint trackingtechniquesforphotovoltaic
A hybrid maximum power point tracking for partially shaded photovoltaic syste...
Perturb and observe maximum power point tracking for photovoltaic cell
PV array connected to the grid with the implementation of MPPT algorithms (IN...
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...
Control of Grid-tied solar photovoltaic power using quasi z-source inverter a...
Simulation and hardware implementation of change in
Simulation of incremental conductance mppt with
Solar Presentation.pptx
40220130406008
Ad

Similar to AN EFFICIENT ALGORITHM FOR WRAPPER AND TAM CO-OPTIMIZATION TO REDUCE TEST APPLICATION TIME IN CORE BASED SOC (20)

PDF
SOC TAM Design to Minimize Test Application Time
PDF
Be34347356
PDF
Test Scheduling of Core Based SOC Using Greedy Algorithm
PDF
A test architecture design for SoCs using atam method
PPT
lecture_32.ppt for PD and the vlsi design
PDF
LPCT controller Types on transceiver chip on pin count testing
PDF
Microcontroller Based Testing of Digital IP-Core
PDF
Zander eng scd_final
PDF
Parallelization of Smith-Waterman Algorithm using MPI
PDF
SSM White Paper NOV-2010
PDF
Reducing Power Consumption during Test Application by Test Vector Ordering
PDF
(SAC2020 SVT-2) Constrained Detecting Arrays for Fault Localization in Combin...
PDF
G04454759
PDF
PPTX
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
PDF
A Novel Method for Encoding Data Firmness in VLSI Circuits
PDF
Validation and Design in a Small Team Environment
PDF
Validation and-design-in-a-small-team-environment
PPTX
Kunal Varshney, VLSI Engineer, Open-Silicon
PPT
Abraham q3 2008
SOC TAM Design to Minimize Test Application Time
Be34347356
Test Scheduling of Core Based SOC Using Greedy Algorithm
A test architecture design for SoCs using atam method
lecture_32.ppt for PD and the vlsi design
LPCT controller Types on transceiver chip on pin count testing
Microcontroller Based Testing of Digital IP-Core
Zander eng scd_final
Parallelization of Smith-Waterman Algorithm using MPI
SSM White Paper NOV-2010
Reducing Power Consumption during Test Application by Test Vector Ordering
(SAC2020 SVT-2) Constrained Detecting Arrays for Fault Localization in Combin...
G04454759
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
A Novel Method for Encoding Data Firmness in VLSI Circuits
Validation and Design in a Small Team Environment
Validation and-design-in-a-small-team-environment
Kunal Varshney, VLSI Engineer, Open-Silicon
Abraham q3 2008
Ad

More from IAEME Publication (20)

PDF
IAEME_Publication_Call_for_Paper_September_2022.pdf
PDF
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
PDF
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
PDF
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
PDF
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
PDF
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
PDF
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
PDF
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
PDF
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
PDF
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
PDF
GANDHI ON NON-VIOLENT POLICE
PDF
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
PDF
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
PDF
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
PDF
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
PDF
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
PDF
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
PDF
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
PDF
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
PDF
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
IAEME_Publication_Call_for_Paper_September_2022.pdf
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
GANDHI ON NON-VIOLENT POLICE
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT

Recently uploaded (20)

PPTX
Foundation to blockchain - A guide to Blockchain Tech
PPTX
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
PPTX
additive manufacturing of ss316l using mig welding
PPTX
CYBER-CRIMES AND SECURITY A guide to understanding
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PDF
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
PPTX
FINAL REVIEW FOR COPD DIANOSIS FOR PULMONARY DISEASE.pptx
PPTX
Strings in CPP - Strings in C++ are sequences of characters used to store and...
PDF
Structs to JSON How Go Powers REST APIs.pdf
PPTX
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PPTX
CH1 Production IntroductoryConcepts.pptx
DOCX
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
PPTX
UNIT 4 Total Quality Management .pptx
PDF
Well-logging-methods_new................
PDF
Digital Logic Computer Design lecture notes
PDF
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
PPTX
UNIT-1 - COAL BASED THERMAL POWER PLANTS
PDF
Operating System & Kernel Study Guide-1 - converted.pdf
PDF
PPT on Performance Review to get promotions
Foundation to blockchain - A guide to Blockchain Tech
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
additive manufacturing of ss316l using mig welding
CYBER-CRIMES AND SECURITY A guide to understanding
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
FINAL REVIEW FOR COPD DIANOSIS FOR PULMONARY DISEASE.pptx
Strings in CPP - Strings in C++ are sequences of characters used to store and...
Structs to JSON How Go Powers REST APIs.pdf
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
CH1 Production IntroductoryConcepts.pptx
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
UNIT 4 Total Quality Management .pptx
Well-logging-methods_new................
Digital Logic Computer Design lecture notes
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
UNIT-1 - COAL BASED THERMAL POWER PLANTS
Operating System & Kernel Study Guide-1 - converted.pdf
PPT on Performance Review to get promotions

AN EFFICIENT ALGORITHM FOR WRAPPER AND TAM CO-OPTIMIZATION TO REDUCE TEST APPLICATION TIME IN CORE BASED SOC

  • 1. http://www.iaeme.com/IJECET/index.asp 9 editor@iaeme.com International Journal of Electronics and Communication Engineering & Technology (IJECET) Volume 7, Issue 2, March-April 2016, pp. 09-17, Article ID: IJECET_07_02_002 Available online at http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=2 Journal Impact Factor (2016): 8.2691 (Calculated by GISI) www.jifactor.com ISSN Print: 0976-6464 and ISSN Online: 0976-6472 © IAEME Publication AN EFFICIENT ALGORITHM FOR WRAPPER AND TAM CO-OPTIMIZATION TO REDUCE TEST APPLICATION TIME IN CORE BASED SOC Harikrishna Parmar ECC Department, Nirma University Ahmedabad, India Dr.Usha Mehta ECC Department, Nirma University Ahmedabad, India ABSTRACT System-on-Chip (SOC) designs composed of many embedded cores are ubiquitous in today’s integrated circuits. Each of these cores requires to be tested separately after manufacturing of the SoC. That’s why, modular testing is adopted for core-based SoCs, as it promotes test reuse and permits the cores to be tested without comprehensive knowledge about their internal structural details. Such modular testing triggers the need of a special test access mechanism (TAM) to build communication between core I/Os and TAM and promises to minimize overall test time. In this paper, various issues are analyzed to optimize the Wrapper and TAM, which comprises the optimal partitioning of TAM width, assignment of cores to partitioned TAM width etc. Key words: TAM; SOC; Core Assignment; Test Bus Architecture, Test Wrapper Cite this Article: Harikrishna Parmar and Dr.Usha Mehta. An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application Time In Core Based SOC. International Journal of Electronics and Communication Engineering & Technology, 7(2), 2016, pp. 09-17. http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=2 1. INTRODUCTION A conceptual modular testing is presented in [1], which includes three structural elements. 1. Test pattern source, 2. Sink and 3. The TAM and the test wrapper. Now a day, In large SoC, embedded cores are commonplace. Since embedded cores are not straight away approachable through chip’s inputs and outputs, the special TAM is
  • 2. Harikrishna Parmar and Dr.Usha Mehta http://www.iaeme.com/IJECET/index.asp 10 editor@iaeme.com needed to test the core at the system level [1] [2]. TAM establishes communication between the cores and chip input-output and does the job of transferring test data from chip input-output to the core and vice versa. Test wrapper establishes an interface between the core and its environment. TAM is essential for modular testing, because it instantly influences testing time of SoC. The present IEEE 1500 standard describes wrapper design only and leaves optimization of TAM to the system designer. Therefore, optimization of TAM is a functional area of research. A number of TAM architectures, which are working on different heuristics and algorithm, are proposed in [3]-[18]. The main motto of all these TAM architecture is to reduce testing time of SoC. Here, in this paper, an improved TAM is presented for the test bus architecture to get optimal testing time of SoC. The whole paper is organized as follows. Section II discusses the prior work on TAM in 2D SoC. The Problem statement is described in section III. Mathemtical model referred to establish the problem statement is shown in section IV, whereas section V discusses the experimental result analysis. Finally, section VI draws the conclusion. 2. PRIOR WORK Mainly there are three kinds of test access architectures [3]. 1. Multiplexing, 2. Distribution and 3. Daisychain architecture [4]-[7]. By using these architectures, a test bus and TestRail architecture were proposed in [8] and [9] respectively. A novel approach to reduce the test time of SoC is proposed in [10], which is based on genetic local search algorithm. The proposed method resolves the problem of TAM under the restriction such as core cluster and core placement cluster. The method allows the system designer to improve TAM and helps to make appropriate choices. Another approach to reduce test time based on the bandwidth matching concept is shown in [11], which emphasizes the multi-frequency TAM design. Using the method of serialization and deserialization, a high bandwidth source and sink are connected to the low bandwidth source and sink until bandwidth matches. In the second approach, the problem with the post-silicon validation method, which has limited debug access bandwidth to access internal signals, is described in [12]. The TAM based on flexible width architecture is shown in [13]. In this method, first lower bound of test time is set which does not depend on TAM structure and then the test bus assignment is done in such a way that, it achieves that lower bound. A TAM for the multiple identical cores is shown in [14], which utilize the uniform nature of the core and applies test simultaneously, which helps to minimize test time for core under test. In an another approach, testing of multiple identical core is done in such a way that, instead of taking typical test response data from the core, it takes a majority based value. The TAM architecture introduced in this paper is based on-chip comparator and majority analyzer [15] [16]. Reconfiguration of the multiple scan chain to minimize test application time for SoC is presented in [17]. Here, the whole paper is designed for the optimization of TAM for the test bus architecture. The architecture and results discussed in [18] and [19] is taken as a reference. The algorithm described to optimize Wrapper and TAM in test bus architecture is again developed and improved to get a further reduction in the test application time.
  • 3. An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application Time In Core Based SOC http://www.iaeme.com/IJECET/index.asp 11 editor@iaeme.com 3. PROBLEM STATEMENT For the given NC number of cores for the SoC, including ni number of inputs, mi number of outputs, TAM width W, SC number of scan chain and length of scan chain lik for each core and Pi number of test patterns, determine (i) The improved width of TAM bus (ii) ideal partition for TAM bus (iii) The assignment of cores to the partitioned TAM bus and (iv) The test schedule for the entire SoC, such that overall test application time is minimized. 4. MATHEMATICAL MODEL Initialization Let the total number of cores are NC Total number of input for a particular core is - n Total number of output for a particular core is – m Number of test pattern given in a particular core is - P TAM width allocated is – W Number of partition taken for TAM width W is – B So, Width distribution is taken as if partition factor is two W1(i) = i W2(i) = W- i Where i varies from 1 to W/2 Here, a new variable ø is defined as Ø(i) = max(n(i),m(i)) Where i varies from 1 to NC Balance Wrapper Scan Chin Lets number of scan chain inside a particular core is Sc. Length of each scan chain is given as l1,l2…..lsc Number of scan chain of length l1,l2…lsc is Z1,Z2….Zsc Now divide number of scan chain Z1,Z2…..Zn by width W and find quotient an remainder. Q1=Z1/W R1 = Z1%W Q2=Z2/W R2= Z1%W Qn=Zn/W Rn=Zn%W Here, Quotient indicates that these many scan chain can be equally distributed on TAM width W. Remainder indicates that these many scan chains are needed to be distributed separately. Now take the sum of the remainder Rsum=
  • 4. Harikrishna Parmar and Dr.Usha Mehta http://www.iaeme.com/IJECET/index.asp 12 editor@iaeme.com If Rsum<W, Then Sum2(i)= + R(i) Now, distribute and add number of I/O to sum2(i) such that the balance wrapper scan chain is formed. Sum3(i) = + m/W Now find longest and shortest scan chain length Simax = max(Sum3(i)) Where i varies from 1 to Sc Simin = min(Sum3(i)) Where i varies from 1 to Sc If Rsum>W, Then Now, distribute and add remainders and number of Inputs to sum2(i) such that the balance wrapper scan chain is generated. Sum3(i) = + m/W + R(i) Now find longest and shortest scan chain length Simax = max(Sum3(i)) Where i varies from 1 to Sc Simin = min(Sum3(i)) Where i varies from 1 to Sc Simax and Simin is the balance input wrapper scan chain Repeat this procedure for Balance output wrapper scan chain to find out Somax and Somin Test Time Calculation Calculate test application time of each core for width W1 as per the equation given below and store it in array A A(i) = (1+max(Simax,Somax))*P + min(Simin,Somin) Where i varies from 1 to NC Calculate test application time of each core for width W1 as per the equation given below and store it in array B B(i) = (1+max(Simax,Somax))*P + min(Simin,Somin) Where i varies from 1 to NC Test Scheduling Sort array A and array B in Descending order. Calculate cumulative test time of all cores from array A P1 = Calculate cumulative test time of all cores from array P2 =
  • 5. An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application Time In Core Based SOC http://www.iaeme.com/IJECET/index.asp 13 editor@iaeme.com P=min(P1,P2) Take P as a upper bound for further procedure Now, add array A and B C(i)= + If number of cores is greater than 10 then distribute cores into number of segments. The first segment must contain 10 cores. The succeeding each segment may contain up to 10 cores. Here, the model is shown for 3 segments with assumption that there are 30 cores in a SoC. Store the test time for the first 10 core in an array X X1(k)=C(i) Where i and k varies from 1 to 10 X2(k)=C(i) Where i varies from 11 to 20 and k varies from 1to 10 X3(k)=C(i) Where i varies from 21 to 30 and k varies from 1to 10 Test scheduling for segment 1: Upper bound for test time is PH = P Lower bound of the test time is given as PL = Find the sum of the test time of the cores in array X1 for a given limit of upper and lower bound and store it in array D1. Find the sum of the test time of the cores in array X1a for a given limit of upper and lower bound and store it in array D2. Find the sum of the test time of the cores in array X1b for a given limit of upper and lower bound and store it in array D3. Find the length of D1. L1=length(D1) Find maximum from array D1, D2 and D3 EH1 = max(D1) EH2 = max(D2) EH3 = max(D3) Test scheduling for segment 2: Upper bound = EH1 Lower bound = EL = Where i varies from 21to 30 Find the sum of the test time of the cores in array X2 for a given limit of upper and lower bound and store it in array F1. Find the sum of the test time of the cores in array X2a for a given limit of upper and lower bound and store it in array F2.
  • 6. Harikrishna Parmar and Dr.Usha Mehta http://www.iaeme.com/IJECET/index.asp 14 editor@iaeme.com Find the sum of the test time of the cores in array X2b for a given limit of upper and lower bound and store it in array F3. Find the length of F1. L1=length(F1) Test scheduling for segment 3: Initialize a variable k1=1 Upper bound = F1(i) Where i varies from 1to L2 Lower bound = EL = C(Nc) Find the sum of the test time of the cores in array X3 for a given limit of upper and lower bound and store it in array G1(k1) and update array for every iteration from i =1 to L2. Also update k1. Find the sum of the test time of the cores in array X3a for a given limit of upper and lower bound and store it in array G2(k1) and update array for every iteration from i =1 toL2. Also update k1. Find the sum of the test time of the cores in array X3b for a given limit of upper and lower bound and store it in array G3(k1) and update array for every iteration from i =1 toL2. Also update k1. Find the length of G1 and update the values of last array. L3=length(G1) H1(j)= H2(j)= H3(j)= Update j and H1,H2,H3 for every iteration. Now, take P, EH2 and EH3 from segment 1 J1(i) = ) J2(i)=P- Find maximum from two array J1 and J2 J(i)= max(J1(i),J2(i)) Where i varies from 1 to L3 Find Minimum value fro array J Q=min(J(i)) Where i varies from 1 to L3 Find Minimum value fro array J Q=min(J(i)) Where i varies from 1 to L3 Q is the final answer 5. EXPERIMENTAL RESULT ANALYSIS Here SoC d695 and P93791 is taken as a running example throughout this paper to understand the fundamental of test optimization methodology. Here the experimental results are shown in table I, II and III when TAM bus width is partitioned by 2. Also, the proposed method is compared with the reference
  • 7. An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application Time In Core Based SOC http://www.iaeme.com/IJECET/index.asp 15 editor@iaeme.com approach [18] and [19] which shows the optimality of the proposed method. Simulation results achieved in this paper are done in MATLAB. 6. CONCLUSION In this paper, an improved algorithm for the test bus architecture is presented and the simulation is done on SoC d695 and P93791. Through extensive simulation on given SoC, it is observed that with the proposed algorithm, the testing time is reduced significantly as compared to the approach given in the reference. It has also been noticed that the achieved TAM bus width distribution and core assignment is an optimum value for the testing time earned with the proposed algorithm. Table I Simulation results for SoC D695 Total TAM Width Optimal Width Distribution From ref paper [18] (No. of clocks) From proposed algo (No. of clocks) Difference (No. of clocks) 16 (7,9) 45055 44116 939 20 (4,16) 34444 34437 7 24 (5,19) 29501 29240 261 28 (8,20) 26964 26828 136 32 (12,20) 25442 24779 663 36 (16,20) 25312 23193 2119 40 (8,32) 21359 21314 45 44 (9,35) 20883 20232 651 48 (10,38) 19938 19707 231 52 (18,34) 19087 18783 304 56 (20,36) 18434 18130 304 60 (20,40) 18205 18019 186 64 (20,44) 18205 17946 259 Table II Simulation results for SoC P93791 (Comparision with ref paper [18]) Total TAM Width Optimal Width Distribution From ref paper[18] (No. of clocks) From proposed algo (No. of clocks) Difference (No. of clocks) 16 (8,8) 1806550 1683418 123132 20 (8,12) 1453170 1356828 96342 24 (12,12) 1217630 962058 255572 28 (5,23) 1031200 868112 163088 32 (9,23) 899807 867746 32061 36 (12,24) 820232 781852 38380 40 (16,24) 751345 707549 43796 44 (17,27) 711256 694132 17124 48 (23,25) 634488 589031 45457 52 (6,46) 600218 534109 66109 56 (9,47) 533752 505877 27875 60 (13,47) 505885 483857 22028 64 (16,48) 475598 464905 10693
  • 8. Harikrishna Parmar and Dr.Usha Mehta http://www.iaeme.com/IJECET/index.asp 16 editor@iaeme.com Table III Simulation results for SoC P93791 (Comparision with ref paper [19]) Total TAM Width Optimal Width Distribution From ref paper[19] (No. of clocks) From proposed algo (No. of clocks) Difference (No. of clocks) 16 (8,8) 1854566 1683418 171148 24 (12,12) 1272220 1134381 137839 32 (9,23) 940318 868112 72206 40 (16,24) 765715 706617 59098 48 (23,25) 640488 587775 52713 56 (9,47) 551849 494999 56850 64 (16,48) 473726 449967 23759 REFERENCES [1] Y. Zorian, E. Marinissen, and S. Dey, Testing embedded-core-based system chips,” Computer, vol. 32, no. 6, pp. 52–60, 1999. [2] J. Marinissen, Y. Zorian, R. Kapur, T. Taylor and T. Whetsel, Towards a standard for embedded core test: an example”, Proceeding of the International Test conference, pp.616~627, 1999. [3] K. Chakrabarty, “Optimal test access architectures for system-on-chip”, ACM Transactions on Design Automation of Electronic System, Vol.6, no.1. January 2001, pp. 26~49 [4] V Iyengar, K. Chakrabarty, and E Marinissen, Test wrapper and test access mechanism co-optimization for system-on-chip, Journal of Electronic Testing: Theory and Applications, vol. 18, pp. 213–230, 2002. [5] N. Nicolici and Xu, “Resource-constrained system-on-a-chip test: a survey,” IEE Proc. Computers and Digital Techniques, vol.152, no. 1, pp. 67–81, 2005. [6] Z. Peng, E. Larsson, K. Arvidsson and H. Fujiwara, Efficient test solutions for core-based designs, TCAD, vol.23,no.5,pp.758–775, 2004. [7] S Goel and E Marinissen, “Effective and Efficient Test Architecture Design for SOCs”, In Proceedings IEE(ITC), pages 529–538, Baltimore, MD, Oct. 2002. [8] S Bhatia and P Varma, “A Structured Test Reuse Methodology for Core-based System Chips”, In Proc. ITC pages 294–302, 1998. [9] J. Marinissen, “A Structured and Scalable Mechanism for Test Access to Embedded Reusable Cores”, In Proceedings IEEE International Test Conference (ITC), pages 284–293, Oct. 1998. [10] W. Huang, Y Wang, “Optimizing Test Access Mechanism Under Constraints by Genetic Local Search Algorithm”, Proc. ATS, 2003. [11] N. Nicolici,Q. Xu, “Multi-frequency Test Access Mechanism design for Modular SOC Testing,” In Proceedings 13th ATS, pp. 2-7, Nov. 2004. [12] X Liu, Q Xu, “On Reusing Test Access Mechanisms for Debug Data Transfer in SoC Post-Silicon Validation”, Proceeding IEEE Asian Test Symposium, pp-303- 308, 2008 [13] F Jianhua, L Jieyi, X Wenhua and Y Hongfei, “An Improved Test Access Mechanism Structure and Optimization technique in System-on-Chip”, Proceedings of the 2005 Asia and South Pacific Design Automation Conference, Pages 23-24,2005
  • 9. An Efficient Algorithm For Wrapper and Tam Co-Optimization To Reduce Test Application Time In Core Based SOC http://www.iaeme.com/IJECET/index.asp 17 editor@iaeme.com [14] G. Giles, J. Wang, A. Sehgal, K. Balakrishnan, and J. Wingfield, “Test access mechanism for multiple identical cores,” in Proc. IEEE Int. Test Conf., Oct. 2008, pp. 1–10. [15] A Han, I Choi, and S Kang, “Majority-Based Test Access Mechanism for Parallel Testing of Multiple Identical Cores”, IEEE transaction on VLSI Ssystems, pp-1, 2014 [16] H Ke, D Zhongliang, H Jianming, “Boundary Scan with Parallel Test Access Mechanism”, The Ninth International Conference on Electronic Measurement & Instruments, pp – 16-19,2009 [17] J Rau, P Wu, W Huang, C Chien and C Chen, “Optimal Test Access Mechanism (TAM) for Reducing Test Application Time of Core-Based SOCs”, Tamkang Journal of Science and Engineering, Vol. 13, No. 3, pp. 305_314 , 2010 [18] K Chakrabarty V. Iyengar, A. Chandra, “Test resource partitioning for system- on-a-chip.” Frontiers in Electronic Testing, Vol. 20, 2002. [19] S Goel, J Marinissen, A Sehgal and K Chakravarti “Testing of SoCs with Hierarchical Cores: Common Fallacies, Test Access Optimization, and Test Scheduling “IEEE Transactions On Computers, Vol. 58, No. 3, March 2009