Reducing the number of sensors under hot spot temperature error bound for microprocessors based on dual clustering

2013 ◽  
Vol 7 (4) ◽  
pp. 211-220 ◽  
Author(s):  
Xin Li ◽  
Mengtian Rong ◽  
Ruolin Wang ◽  
Tao Liu ◽  
Liang Zhou
2009 ◽  
Vol 24 (3) ◽  
pp. 1257-1265 ◽  
Author(s):  
Dejan Susa ◽  
Hasse Nordman

Author(s):  
Horacio Nochetto ◽  
Peng Wang ◽  
Avram Bar-Cohen

Driven by shrinking feature sizes, microprocessor hot spots have emerged as the primary driver for on-chip cooling of today’s IC technologies. Current thermal management technologies offer few choices for such on-chip hot spot remediation. A solid state germanium self-cooling layer, fabricated on top of the silicon chip, is proposed and demonstrated to have great promise for reducing the severity of on-chip hot spots. 3D thermo-electrical coupled simulations are used to investigate the effectiveness of a bi-layer device containing a germanium self-cooling layer above an electrically insulated silicon layer. The parametric variables of applied current, cooler size, silicon percentage, and total die thickness are sequentially optimized for the lowest hot spot temperature compared to a non-self-cooled silicon chip. Results suggest that the localized self-cooling of the germanium layer coupled with the higher thermal conductivity of the silicon chip can significantly reduce the temperature rise resulting from a micro-scaled hot spot.


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