• Title/Summary/Keyword: Rectangle Packing

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NoC Test Scheduling Based on a Rectangle Packing Algorithm (Rectangle Packing 방식 기반 NoC 테스트 스케쥴링)

  • Ahn Jin-Ho;Kim Gunbae;Kang Sungho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.43 no.1 s.343
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    • pp.71-78
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    • 2006
  • An NoC (Networks-on-Chip) is an emerging design paradigm intended to cope with a future SoC containing numerous built-in cores. In an NoC, the test strategy is very significant for its practicality and feasibility. Among existing test issues, TAM architecture and test scheduling will particularly dominate the overall test performance. In this paper, we address an efficient NoC test scheduling algorithm based on a rectangle packing approach used for an SoC test. In order to adopt the rectangle packing solution as an NoC test scheduling algorithm we design the configuration about test resources and test methods suitable for an NoC structure. Experimental results using some ITC'02 benchmark circuits show the proposed algorithm can reduce the overall test time by up to $55\%$ in comparison with previous works.

A Study of Core Test Scheduling for SOC (코아 테스트 스케듈링에 관한 연구)

  • 최동춘;민형복;김인수
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10a
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    • pp.208-210
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    • 2003
  • 본 논문은 SOC 내에 존재하는 코아들을 테스트하는 과정에서 개별 코아들의 테스트 조건을 기반으로 한 스케듈링을 통해 최적의 Test ing time을 구하는 연구이다. SOC 내에 존재하는 코아들은 주어지는 TAM(Test Access Mechanism) Width에 따라 각코아들의 Width가 달라지고, 최대 Width에서 최소 Width(1)까지 각 Width 별로 Testing time을 계산할 수 있다. 코아들의 각 Width 별 Testing time을 기존의 Rectangle Packing Algorithm을 수정, 보완하여 효율적으로 구성한 수정 Rectangle Packing Algorithm에 적응하여 최적의 Testing time을 구하는 것이 본 논문의 목적이다.

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Test Scheduling of NoC-Based SoCs Using Multiple Test Clocks

  • Ahn, Jin-Ho;Kang, Sung-Ho
    • ETRI Journal
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    • v.28 no.4
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    • pp.475-485
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    • 2006
  • Network-on-chip (NoC) is an emerging design paradigm intended to cope with future systems-on-chips (SoCs) containing numerous built-in cores. Since NoCs have some outstanding features regarding design complexity, timing, scalability, power dissipation and so on, widespread interest in this novel paradigm is likely to grow. The test strategy is a significant factor in the practicality and feasibility of NoC-based SoCs. Among the existing test issues for NoC-based SoCs, test access mechanism architecture and test scheduling particularly dominate the overall test performance. In this paper, we propose an efficient NoC-based SoC test scheduling algorithm based on a rectangle packing approach used for current SoC tests. In order to adopt the rectangle packing solution, we designed specific methods and configurations for testing NoC-based SoCs, such as test packet routing, test pattern generation, and absorption. Furthermore, we extended and improved the proposed algorithm using multiple test clocks. Experimental results using some ITC'02 benchmark circuits show that the proposed algorithm can reduce the overall test time by up to 55%, and 20% on average compared with previous works. In addition, the computation time of the algorithm is less than one second in most cases. Consequently, we expect the proposed scheduling algorithm to be a promising and competitive method for testing NoC-based SoCs.

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SA-Based Test Scheduling to Reduce the Test Time of NoC-Based SoCS (SA 기법 응용 NoC 기반 SoC 테스트 시간 감소 방법)

  • Ahn, Jin-Ho;Kim, Hong-Sik;Kim, Hyun-Jin;Park, Young-Ho;Kang, Sung-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.2
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    • pp.93-100
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    • 2008
  • In this paper, we address a novel simulated annealing(SA)-based test scheduling method for testing network-on-chip (NoC)-based systems-on-chip(SoCs), on the assumption that the test platform proposed in [1] is installed. The proposed method efficiently mixed the rectangle packing method with SA and improved the scheduling results by locally changing the test access mechanism(TAM) widths for cores and the testing orders. Experimental results using ITC'02 benchmark circuits show that the proposed algorithm can efficiently reduce the overall test time.

NoC-Based SoC Test Scheduling Using Ant Colony Optimization

  • Ahn, Jin-Ho;Kang, Sung-Ho
    • ETRI Journal
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    • v.30 no.1
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    • pp.129-140
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    • 2008
  • In this paper, we propose a novel ant colony optimization (ACO)-based test scheduling method for testing network-on-chip (NoC)-based systems-on-chip (SoCs), on the assumption that the test platform, including specific methods and configurations such as test packet routing, generation, and absorption, is installed. The ACO metaheuristic model, inspired by the ant's foraging behavior, can autonomously find better results by exploring more solution space. The proposed method efficiently combines the rectangle packing method with ACO and improves the scheduling results by dynamically choosing the test-access-mechanism widths for cores and changing the testing orders. The power dissipation and variable test clock mode are also considered. Experimental results using ITC'02 benchmark circuits show that the proposed algorithm can efficiently reduce overall test time. Moreover, the computation time of the algorithm is less than a few seconds in most cases.

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An Improved Exact Algorithm for the Unconstrained Two-Dimensional Cutting Problem (개수 제한이 없는 2차원 절단문제를 위한 향상된 최적해법)

  • Gee, Young-Gun;Kang, Maing-Kyu
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.4
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    • pp.424-431
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    • 2001
  • This paper is concerned with the unconstrained two-dimensional cutting problem of cutting small rectangles (products), each of which has its own profit and size, from a large rectangle (material) to maximize the profit-sum of products. Since this problem is used as a sub-problem to generate a cutting pattern in the algorithms for the two-dimensional cutting stock problem, most of researches for the two-dimensional cutting stock problem have been concentrated on solving this sub-problem more efficiently. This paper improves Hifi and Zissimopoulos's recursive algorithm, which is known as the most efficient exact algorithm, by applying newly proposed upper bound and searching strategy. The experimental results show that the proposed algorithm has been improved significantly in the computational amount of time as compared with the Hifi and Zissimopulos's algorithm.

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