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تحلیل تغییرات فرآیند مونت کارلو (Monte Carlo Process Variation)×سنتز منطقی×
حوزهمهندسی برقمهندسی برق
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش20031987
پدیدآورGeorge S. Fishman, Sani R. NassifRobert Brayton
نوعProbabilistic modeling of semiconductor manufacturing variabilityAutomated conversion of HDL descriptions to gate-level netlists
منبع بنیادینFishman, G. S. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer-Verlag. DOI ↗Brayton, R. K., Hachtel, G. D., McMullin, C. T., Sangiovanni-Vincentelli, A. L., & Vincentelli, A. S. (1987). Logic Synthesis for VLSI Design. Kluwer Academic. link ↗
نام‌های دیگرMonte Carlo simulation, Process variation analysis, PVT analysisRTL synthesis, Hardware synthesis, Logic optimization
مرتبط33
خلاصهMonte Carlo Process Variation analysis quantifies the impact of manufacturing uncertainties on circuit performance using statistical sampling. As semiconductor technology scales, process variations (gate length, oxide thickness, dopant fluctuations) create significant uncertainties in delay, power, and leakage. Monte Carlo methods sample the random variation space, enabling statistical characterization of yield, timing margins, and reliability. Essential for modern technology nodes.Logic Synthesis is the automated conversion of high-level hardware descriptions (RTL in Verilog/VHDL) into optimized gate-level netlists. Pioneered by Brayton et al. at UC Berkeley in the 1980s-1990s, logic synthesis transforms behavioral specifications into physical implementations, optimizing for area, speed, and power. Synthesis is essential to modern digital design, enabling rapid iteration and automation of the most tedious manual tasks.
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ScholarGateمقایسهٔ روش‌ها: Monte Carlo Process Variation · Logic Synthesis. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare