Collaborative research on emerging technologies and design

被引:0
|
作者
Neureuther, Andrew R. [1 ]
Rubinstein, Juliet [1 ]
Miller, Marshal [1 ]
Yamazoe, Kenji [2 ]
Chin, Eric [1 ]
Levy, Cooper [1 ]
Wang, Lynn [1 ]
Xu, Nuo [1 ]
Spanos, Costas [1 ]
Qian, Kun [1 ]
Poolla, Kameshwar [3 ]
Ghan, Justin [3 ]
Subramanian, Anand [3 ]
Liu, Tsu-Jae King [1 ]
Sun, Xin [1 ]
Jeong, Kwangok [4 ]
Gupta, Puneet [5 ]
Kaqalwalla, Abde [5 ]
Ghaida, Rani [5 ]
Chan, Tuck-Boon [5 ]
机构
[1] UC Berkeley US, EECS, Berkeley, CA 94720 USA
[2] UC Berkeley Canon Japan, Berkeley, CA USA
[3] Univ Calif Berkeley, ME, Berkeley, CA USA
[4] Univ Calif San Diego, ECE, San Diego, CA USA
[5] Univ Calif Berkeley, Dept EECS, EE, Los Angeles, CA 94720 USA
关键词
image; variability; process-window; electrical process-window; process-aware design; mask floorplan; compact timing models;
D O I
10.1117/12.899394
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Techniques for identifying and mitigating effects of process variation on the electrical performance of integrated circuits are described. These results are from multi-discipline, collaborative university-industry research and emphasize anticipating sources of variation up-stream early in the circuit design phase. The lithography physics research includes design and testing electronic monitors in silicon at 45 nm and fast-CAD tools to identify systematic variations for entire chip layouts. The device research includes the use of a spacer (sidewall transfer) gate fabrication process to suppress random variability components. The Design-for-Manufacturing research includes double pattern decomposition in the presence of bimodal CD behavior, process-aware reticle inspection, tool-aware dose trade-off between leakage and speed, the extension of timing analysis methodology to capture across process-window effects and electrical process-window characterization.
引用
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页数:7
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