Pruning-Based Trace Signal Selection Algorithm for Data Acquisition in Post-Silicon Validation
Summary :
To improve the observability during the post-silicon validation, it is the key to select the limited trace signals effectively for the data acquisition. This paper proposes an automated trace signal selection algorithm, which uses the pruning-based strategy to reduce the exploration space. First, the restoration range is covered for each candidate signals. Second, the constraints are generated based on the conjunctive normal form (CNF) to avoid the conflict. Finally the candidates are selected through pruning-based enumeration. The experimental results indicate that the proposed algorithm can bring higher restoration ratios and is more effective compared to existing methods.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.6 pp.1030-1040
- Publication Date
- 2012/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.1030
- Type of Manuscript
- PAPER
- Category
- VLSI Design Technology and CAD
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Kang ZHAO, Jinian BIAN, "Pruning-Based Trace Signal Selection Algorithm for Data Acquisition in Post-Silicon Validation" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 6, pp. 1030-1040, June 2012, doi: 10.1587/transfun.E95.A.1030.
Abstract: To improve the observability during the post-silicon validation, it is the key to select the limited trace signals effectively for the data acquisition. This paper proposes an automated trace signal selection algorithm, which uses the pruning-based strategy to reduce the exploration space. First, the restoration range is covered for each candidate signals. Second, the constraints are generated based on the conjunctive normal form (CNF) to avoid the conflict. Finally the candidates are selected through pruning-based enumeration. The experimental results indicate that the proposed algorithm can bring higher restoration ratios and is more effective compared to existing methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1030/_p
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@ARTICLE{e95-a_6_1030,
author={Kang ZHAO, Jinian BIAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Pruning-Based Trace Signal Selection Algorithm for Data Acquisition in Post-Silicon Validation},
year={2012},
volume={E95-A},
number={6},
pages={1030-1040},
abstract={To improve the observability during the post-silicon validation, it is the key to select the limited trace signals effectively for the data acquisition. This paper proposes an automated trace signal selection algorithm, which uses the pruning-based strategy to reduce the exploration space. First, the restoration range is covered for each candidate signals. Second, the constraints are generated based on the conjunctive normal form (CNF) to avoid the conflict. Finally the candidates are selected through pruning-based enumeration. The experimental results indicate that the proposed algorithm can bring higher restoration ratios and is more effective compared to existing methods.},
keywords={},
doi={10.1587/transfun.E95.A.1030},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - Pruning-Based Trace Signal Selection Algorithm for Data Acquisition in Post-Silicon Validation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1030
EP - 1040
AU - Kang ZHAO
AU - Jinian BIAN
PY - 2012
DO - 10.1587/transfun.E95.A.1030
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2012
AB - To improve the observability during the post-silicon validation, it is the key to select the limited trace signals effectively for the data acquisition. This paper proposes an automated trace signal selection algorithm, which uses the pruning-based strategy to reduce the exploration space. First, the restoration range is covered for each candidate signals. Second, the constraints are generated based on the conjunctive normal form (CNF) to avoid the conflict. Finally the candidates are selected through pruning-based enumeration. The experimental results indicate that the proposed algorithm can bring higher restoration ratios and is more effective compared to existing methods.
ER -
English
