Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques

2019 ◽  
Vol 32 (9) ◽  
pp. 5303-5312 ◽  
Author(s):  
Gokul Chandrasekaran ◽  
Sakthivel Periyasamy ◽  
Karthikeyan Panjappagounder Rajamanickam
2020 ◽  
pp. 1-13
Author(s):  
Gokul Chandrasekaran ◽  
P.R. Karthikeyan ◽  
Neelam Sanjeev Kumar ◽  
Vanchinathan Kumarasamy

Test scheduling of System-on-Chip (SoC) is a major problem solved by various optimization techniques to minimize the cost and testing time. In this paper, we propose the application of Dragonfly and Ant Lion Optimization algorithms to minimize the test cost and test time of SoC. The swarm behavior of dragonfly and hunting behavior of Ant Lion optimization methods are used to optimize the scheduling time in the benchmark circuits. The proposed algorithms are tested on p22810 and d695 ITC’02 SoC benchmark circuits. The results of the proposed algorithms are compared with other algorithms like Ant Colony Optimization, Modified Ant Colony Optimization, Artificial Bee Colony, Modified Artificial Bee Colony, Firefly, Modified Firefly, and BAT algorithms to highlight the benefits of test time minimization. It is observed that the test time obtained for Dragonfly and Ant Lion optimization algorithms is 0.013188 Sec for D695, 0.013515 Sec for P22810, and 0.013432 Sec for D695, 0.013711 Sec for P22810 respectively with TAM Width of 64, which is less as compared to the other well-known optimization algorithms.


2010 ◽  
Vol 663-665 ◽  
pp. 670-673
Author(s):  
Zhong Liang Pan ◽  
Ling Chen

The main aspects for the test of system on chip (SoC) are designing testability architectures and solving the test scheduling. The test time of SoC can be reduced by using good test scheduling schemes. A test scheduling method based on cellular genetic algorithm is presented in this paper. In the method, the individuals are used to represent the feasible solutions of the test scheduling problem, the individuals are distributed over a grid or connected graph, the genetic operations such as selection and mutation are applied locally in some neighborhood of each individual. The test scheduling schemes are obtained by carrying out the evolutionary operations for the populations. A lot of experiments are performed for the SoC benchmark circuits, the experimental results show that the better test scheduling schemes can be obtained by the method in this paper.


2011 ◽  
Vol 62 (2) ◽  
pp. 80-86
Author(s):  
Franc Novak ◽  
Peter Mrak ◽  
Anton Biasizzo

Measuring Static Parameters of Embedded ADC CoreThe paper presents the results of a feasibility study of measuring static parameters of ADC cores embedded in a System-on-Chip. Histogram based technique is employed because it is suitable for built-in self-test. While the theoretical background of the technique has been covered by numerous papers, less attention has been given to implementations in practice. Our goal was the implementation of histogram test in a IEEE Std 1500 wrapper. Two different solutions pursuing either minimal test time or minimal hardware overhead are described. The impact of MOS switches at ADC input on the performed measurements was considered.


2019 ◽  
Vol 1 (9) ◽  
Author(s):  
Gokul Chandrasekaran ◽  
Sakthivel Periyasamy ◽  
P. R. Karthikeyan

2015 ◽  
Vol 713-715 ◽  
pp. 1252-1255
Author(s):  
Xiao Min Li ◽  
Shuang Hua Huang

The main concern is over rising temperature during the testing of complex system-on-chip (SOC), this paper studies SOC wrapper and test access mechanism (TAM), and proposes an improved algorithm of TAM assignment under the constraints of temperature. The algorithm uses temperature superposition method and adds compression process. This algorithm can find the test structure that uses shorter test time.


2019 ◽  
Vol 9 (2) ◽  
pp. 19 ◽  
Author(s):  
Harikrishna Parmar ◽  
Usha Mehta

Network-on-chip (NoC) based system-on-chips (SoC) has been a promising paradigm of core-based systems. It is difficult and challenging to test the individual Intellectual property IP cores of SoC with the constraints of test time and test power. By reusing the on-chip communication network of NoC for the testing of different cores in SoC, the test time and test cost can be reduced effectively. In this paper, we have proposed a power-aware test scheduling by reusing existing on-chip communication network. On-chip test clock frequencies are used for power efficient test scheduling. In this paper, an integer linear programming (ILP) model is proposed. This model assigns different frequencies to the NoC cores in such a way that it reduces the test time without crossing the power budget. Experimental results on the ITC’02 benchmark SoCs show that the proposed ILP method gives up to 50% reduction in test time compared to the existing method.


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