Engineered Substrates for Advanced CMOS Technology Nodes and More-Than-Moore Applications

Author(s):  
Konstantin K. Bourdelle
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.


The power consumption in commercial processors and application specific integrated circuits increases with decreasing technology nodes. Power saving techniques have become a first class design point for current and future VLSI systems. These systems employ large on-chip SRAM memories. Reducing memory leakage power while maintaining data integrity is a key criterion for modern day systems. Unfortunately, state of the art techniques like power-gating can only be applied to logic as these would destroy the contents of the memory if applied to a SRAM system. Fortunately, previous works have noted large temporal and spatial locality for data patterns in commerical processors as well as application specific ICs that work on images, audio and video data. This paper presents a novel column based Energy Compression technique that saves SRAM power by selectively turning off cells based on a data pattern. This technique is applied to study the power savings in application specific inegrated circuit SRAM memories and can also be applied for commercial processors. The paper also evaluates the effects of processing images before storage and data cluster patterns for optimizing power savings..


Author(s):  
J. F. Nodin ◽  
E. Vianello ◽  
L. Perniola ◽  
T. Cabout ◽  
B. Traore ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 851-856 ◽  
Author(s):  
Ghavam G. Shahidi

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