Title :
On The Correlation Between Multiple Hot Blocks And Package Thermal Resistance
Author :
Ankireddi, Sai ; Copeland, David
Author_Institution :
Semicond. Packaging, Sun Microsystems Inc., Sunnyvale, CA
Abstract :
A flip-chip package with square die is considered in this study. Up to four square non-intersecting hot blocks are imposed on the die´s otherwise uniform power distribution. Block locations on the die outline are randomly chosen with uniform probability. The power density of a given block is a random parameter, and is permitted to be as high as 10times the baseline uniform bulk power density. Additionally, the size of any block is also treated as a random parameter and is permitted to be as high as 10 % of the die area. A 6000-tuple Monte Carlo study of the packages is conducted, and the package thermal resistance (Rjc) noted in each case. A variety of models are fit to the Rjc using the block characteristics as key variables, and their quality is characterized using the statistical correlation coefficient as a model metric. The results suggest a 96 % correlation between Rjc and the largest product of local power ratio and square of effective local power density ratio among the blocks- providing a simple and useful method to immediately identify blocks with the most impact on Rjc in a die floorplan.
Keywords :
Monte Carlo methods; flip-chip devices; thermal resistance; Monte Carlo analysis; block locations; flip-chip package; multiple hot blocks; package thermal resistance; power density; Computer architecture; Cooling; Microprocessors; Monte Carlo methods; Power distribution; Power system management; Semiconductor device packaging; Sun; Thermal management; Thermal resistance; Hot blocks; Monte Carlo analysis; correlation; flip-chip; package; thermal resistance;
Conference_Titel :
Semiconductor Thermal Measurement and Management Symposium, 2007. SEMI-THERM 2007. Twenty Third Annual IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
1-4244-09589-4
Electronic_ISBN :
1065-2221
DOI :
10.1109/STHERM.2007.352408