Abstract | ||
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A hierarchical scheme with cells and modules is crucial for managing design complexity during a large integrated circuit design. We present a methodology for thermal aware cell-based electromigration analysis suitable for integrating electromigration reliability analysis into a conventional IC design flow. A block or cell is characterized for reliability while it is characterized for power and timing. Reusing cell characterization data significantly reduces computational load while analyzing a full-chip layout. During full-chip analysis, we compute a layout-level temperature profile from cell power dissipations using a Fast Fourier Transform based algorithm. The described full-chip reliability assessment methodology has been implemented in an interconnect reliability CAD tool. We have exercised the tool to demonstrate performance-reliability tradeoff and the significance of thermal-aware reliability analysis for true reliability aware design. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1145/1057661.1057670 | ACM Great Lakes Symposium on VLSI |
Keywords | Field | DocType |
true reliability aware design,design complexity,thermal-aware reliability analysis,thermal aware cell-based full-chip,conventional ic design flow,reliability cad tool,large integrated circuit design,full-chip analysis,reusing cell characterization data,electromigration reliability analysis,full-chip reliability assessment methodology,chip,design flow,integrated circuit design,fast fourier transform,reliability analysis,thermal analysis,electromigration,power dissipation | Thermal,Reuse,Computer science,Real-time computing,Chip,Electronic engineering,Integrated circuit design,Fast Fourier transform,Reliability (semiconductor),Electromigration,Interconnection,Reliability engineering | Conference |
ISBN | Citations | PageRank |
1-59593-057-4 | 3 | 0.67 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Syed M. Alam | 1 | 176 | 20.47 |
Donald E. Troxel | 2 | 87 | 38.38 |
Thompson, Carl V. | 3 | 50 | 11.56 |