Proceedings of the 41st Annual Design Automation Conference 2004
DOI: 10.1145/996566.996695
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Novel sizing algorithm for yield improvement under process variation in nanometer technology

Abstract: Due to process parameter variations, a large variability in circuit delay occurs in scaled technologies affecting the yield. In this paper, we propose a sizing algorithm to ensure the speed of a circuit under process variation with a certain degree of confidence while maintaining the area and power budget within a limit. This algorithm estimates the variation in circuit delay using statistical timing analysis considering both interand intra-die process variation and resizes the circuit to achieve a desired yie… Show more

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Cited by 111 publications
(66 citation statements)
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“…Early developments are known under the heading "statistical design" [12]. Problems for which specific variation-aware techniques have been proposed include transistor sizing [7], yield optimization [5] and voltage binning [46]. Insertion of circuit elements to compensate for variations of propagation delay has been considered for delays in clock distribution networks [33] and in arbitrary logic gates [44].…”
Section: A Variation-aware Designmentioning
confidence: 99%
“…Early developments are known under the heading "statistical design" [12]. Problems for which specific variation-aware techniques have been proposed include transistor sizing [7], yield optimization [5] and voltage binning [46]. Insertion of circuit elements to compensate for variations of propagation delay has been considered for delays in clock distribution networks [33] and in arbitrary logic gates [44].…”
Section: A Variation-aware Designmentioning
confidence: 99%
“…There is a large body of literature dealing with process variations and yield especially at the circuit level [4], [3], [22], [5]. The yield of SRAM storage cells has also been the subject of several studies [15], [11].…”
Section: Related Workmentioning
confidence: 99%
“…In [20,21] gate-sizing are based on the linear programming and non-linear programming technique respectively. In [22,23,24] gatesizing are based on the Lagrangian Relaxation technique. Other gate-sizing optimization algorithms techniques are proposed in [25,26,27,28].…”
Section: Introductionmentioning
confidence: 99%