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Process / pipelineStatistical circuit analysis

Tofauti ya Mchakato wa Monte Carlo

Uchambuzi wa Tofauti ya Mchakato wa Monte Carlo hupima athari za kutokuwa na uhakika kwa utengenezaji kwenye utendaji wa saketi kwa kutumia sampuli za takwimu. Kadiri teknolojia ya nusu-kondakta inavyopungua, tofauti za mchakato (urefu wa geti, unene wa oksidi, mabadiliko ya dopant) huleta kutokuwa na uhakika mkubwa katika ucheleweshaji, nguvu, na uvujaji. Njia za Monte Carlo huchukua sampuli za nafasi ya tofauti isiyo ya mpangilio, kuwezesha tabia ya takwimu ya mavuno, mipaka ya muda, na uaminifu. Ni muhimu kwa nodi za teknolojia ya kisasa.

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Vyanzo

  1. Fishman, G. S. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer-Verlag. DOI: 10.1007/978-1-4757-2553-7
  2. Nassif, S. R. (2003). Modeling and analysis of manufacturing variations. In Proc. CICC (pp. 223-228). IEEE. DOI: 10.1109/cicc.2001.929760
  3. Agarwal, A., Blaauw, D., Zolotov, V., & Sundareswaran, S. (2005). Statistical timing analysis with dual-Vth devices. IEEE Transactions on VLSI Systems, 13(3), 319-328. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Monte Carlo Analysis of Semiconductor Process Variations. ScholarGate. https://scholargate.app/sw/electrical-engineering/monte-carlo-process-variation

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Imerejelewa na

ScholarGateMonte Carlo Process Variation (Monte Carlo Analysis of Semiconductor Process Variations). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/electrical-engineering/monte-carlo-process-variation · Seti ya data: https://doi.org/10.5281/zenodo.20539026