Physical Verification at Advanced Technology Nodes and the Road Ahead

Author(s):  
Juan C. Rey
Author(s):  
Ramya Yeluri ◽  
Ravishankar Thirugnanasambandam ◽  
Cameron Wagner ◽  
Jonathan Urtecho ◽  
Jan M. Neirynck

Abstract Laser voltage probing (LVP) has been extensively used for fault isolation over the last decade; however fault isolation in practice primarily relies on good-to-bad comparisons. In the case of complex logic failures at advanced technology nodes, understanding the components of the measured data can improve accuracy and speed of fault isolation. This work demonstrates the use of second harmonic and thermal effects of LVP to improve fault isolation with specific examples. In the first case, second harmonic frequency is used to identify duty cycle degradation. Monitoring the relative amplitude of the second harmonic helps identify minute deviations in the duty cycle with a scan over a region, as opposed to collecting multiple high resolution waveforms at each node. This can be used to identify timing degradation such as signal slope variation as well. In the second example, identifying abnormal data at the failing device as temperature dependent effect helps refine the fault isolation further.


2012 ◽  
Author(s):  
Jürgen Faul ◽  
Jan Hoentschel ◽  
Maciej Wiatr ◽  
Manfred Horstmann

2019 ◽  
Vol 18 (1) ◽  
pp. 269-274
Author(s):  
Hui-Jung Wu ◽  
Wen Wu ◽  
Roey Shaviv ◽  
Mandy Sriram ◽  
Anshu Pradhan ◽  
...  

2015 ◽  
Vol 2015 (1) ◽  
pp. 000001-000005 ◽  
Author(s):  
R. Beica ◽  
A. Ivankovic ◽  
T. Buisson ◽  
S. Kumar ◽  
J. Azemar

The semiconductor industry, for more than five decades, has followed Moore's law and was driven by miniaturization of the transistors, scaling the CMOS technology to smaller and more advanced technology nodes while, at the same time, reducing the cost. The industry is reaching now limitations in continuing this scaling process in cost effective way. While technology nodes continue to be developed and innovative solutions are being proposed, the investment required to bring such technologies to production are significantly increasing. To overcome these limitations, new packaging technologies have been developed, enabling integration of more performing as well as various type of devices within the same package. This paper will provide an overview of current trends seen in the industry across all the packaging platforms (WLCSP1, FanOut2, Embedded Die2, Flip Chip3 and 3DIC4). Challenges, applications, positioning of the different packaging technologies by market segments (from low end to high end applications) and changes of the markets and drivers, growth rates and roadmaps will be presented. Global capacities and demands and the landscape of the packaging industry will be reviewed. Examples of teardowns to illustrate the latest packaging techniques for various devices used in latest products will be included.


2015 ◽  
Vol 62 (6) ◽  
pp. 2585-2591 ◽  
Author(s):  
B. L. Bhuva ◽  
N. Tam ◽  
L. W. Massengill ◽  
D. Ball ◽  
I. Chatterjee ◽  
...  

2019 ◽  
Vol 58 (SD) ◽  
pp. SD0801 ◽  
Author(s):  
Gian Francesco Lorusso ◽  
Naoto Horiguchi ◽  
Jürgen Bömmels ◽  
Christopher J. Wilson ◽  
Geert Van den bosch ◽  
...  

Author(s):  
Paulo Figueiras ◽  
Hugo Antunes ◽  
Guilherme Guerreiro ◽  
Ruben Costa ◽  
Ricardo Jardim-Gonçalves

In the recent decades, we have witnessed an increase in the number of vehicles using the road infrastructure, resulting in an increased overload of the road network. To mitigate such problems, caused by the increasing number of vehicles and increasing the efficiency and safety of transport systems has been integrated applications of advanced technology, denominated Intelligent Transport Systems (ITS). However, one problem still unsolved in current road networks is the automatic identification of road events such as accidents or traffic jams, being inhibitor to efficient road management. In order to mitigate this problematic, this paper proposes the development of a technological platform able to detect anomalies (abnormal traffic events) to typical road network status and categorize such anomalies. The proposed work, adopts a complex event processing (CEP) engine able to monitor streams of events and detect specified patterns of events in real time. Data is collectively collected and analysed in real-time from loop sensors deployed in Slovenian highways and national roads, providing traffic flows. This prototype will work with a large number of data, being used to process all data, complex event processing tools. All the data used to validate the present study is based on the Slovenian road network. This work has been carried out in the context of the OPTIMUM Project, funded by the H2020 European Research Framework Program.


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