On using lossless compression of debug data in embedded logic analysis

被引:0
作者
Anis, Ehab [1 ]
Nicolici, Nicola [1 ]
机构
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada
来源
2007 IEEE INTERNATIONAL TEST CONFERENCE, VOLS 1 AND 2 | 2007年
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The capacity of on-chip trace buffers employed for embedded logic analysis limits the observation window of a debug experiment. To increase the debug observation window, we propose a novel architecture for embedded logic analysis based on lossless compression. The proposed architecture is particularly useful for in-field debugging of custom circuits that have sources of nondeterministic behavior such as asynchronous interfaces. In order to measure the trade off between the area overhead and the increase in the observation window, we also introduce a new compression ratio metric. We use this metric to quantify the performance gain of three lossless compression algorithms suitable for embedded logic analysis.
引用
收藏
页码:495 / 504
页数:10
相关论文
共 50 条
[21]   Extending IAMCTD using data fusion and lossless data compression for UWSN [J].
Galhotra, Kritika ;
Kaur, Kamaljit .
2015 1ST INTERNATIONAL CONFERENCE ON FUTURISTIC TRENDS ON COMPUTATIONAL ANALYSIS AND KNOWLEDGE MANAGEMENT (ABLAZE), 2015, :526-531
[22]   Optimized Onboard Lossless and Near-Lossless Compression of Hyperspectral Data Using CALIC [J].
Magli, Enrico ;
Olmo, Gabriella ;
Quacchio, Emanuele .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2004, 1 (01) :21-25
[23]   On the estimation of the probability distribution of a non stationary source for lossless data compression lossless data compression [J].
Pfefferman, JD ;
Gonzalez, HJ ;
CernuschiFrias, B .
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL II, 1997, :270-273
[24]   Lossless Data Compression Based on Adaptive Linear Predictor for Embedded System of Unmanned Vehicles [J].
Yu, Fangjie ;
Li, Linhua ;
Zhao, Yang ;
Wang, Mengmeng ;
Liu, Guilin ;
Chen, Ge .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2017, 34 (11) :2499-2508
[25]   An Efficient Lossless Embedded Compression Engine Using Compacted-FELICS Algorithm [J].
Lee, Yu-Yu ;
Lee, Yu-Hsuan ;
Tsai, Tsung-Han .
IEEE INTERNATIONAL SOC CONFERENCE, PROCEEDINGS, 2008, :233-236
[26]   Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor [J].
Malovic, Miodrag ;
Brajovic, Ljiljana ;
Sekara, Tomislav ;
Miskovic, Zoran .
ELEKTRONIKA IR ELEKTROTECHNIKA, 2016, 22 (02) :21-26
[27]   A Lossless Embedded Compression Using Significant Bit Truncation for HD Video Coding [J].
Kim, Jaemoon ;
Kyung, Chong-Min .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2010, 20 (06) :848-860
[28]   Lossless seismic data compression using adaptive linear prediction [J].
Mandyam, G ;
Magotra, N ;
McCoy, W .
IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, :1029-1031
[29]   Lossless compression of EEG data using neural network predictors [J].
Sriraam, N ;
Kannan, R ;
Eswaran, C .
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, :2046-2048
[30]   DeepZip: Lossless Data Compression using Recurrent Neural Networks [J].
Goyal, Mohit ;
Tatwawadi, Kedar ;
Chandak, Shubham ;
Ochoa, Idoia .
2019 DATA COMPRESSION CONFERENCE (DCC), 2019, :575-575