Title :
Accurate estimation and modeling of total chip leakage considering inter- & intra-die process variations
Author :
Agarwal, Amit ; Kang, Kunhyuk ; Roy, Kaushik
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
In this paper we propose an accurate estimation and modeling of total circuit leakage distribution, considering both inter- and intra-die variations (variation in L, Tox and random dopant fluctuation). Since, the total leakage in a circuit depends on leakage in a transistor, integration of transistors in a logic gate, and the gate topology in a circuit block, we model the total circuit leakage distribution at all levels of circuit design, while taking the different correlations among transistors, logic gates, circuit topology, and input vectors into account. The proposed model accurately estimates both statistical information (mean and variance) and the shape of the leakage distribution. We have verified the model using Monte Carlo simulation using devices of 50nm effective length and analyzed the results to enumerate the effect of different process parameters on individual components of total leakage.
Keywords :
Monte Carlo methods; integrated circuit technology; leakage currents; logic gates; network topology; transistor-transistor logic; 50 nm; Monte Carlo simulation; circuit leakage distribution; circuit topology; gate topology; integrated circuit design; intradie process variation; logic gate; random dopant fluctuation; total chip leakage; transistor leakage; Circuit synthesis; Circuit topology; Leakage current; Logic circuits; Logic design; Logic gates; Nanoscale devices; Semiconductor device modeling; Semiconductor process modeling; Threshold voltage;
Conference_Titel :
Computer-Aided Design, 2005. ICCAD-2005. IEEE/ACM International Conference on
Print_ISBN :
0-7803-9254-X
DOI :
10.1109/ICCAD.2005.1560162