Title :
Statistical simulation methodology for sub- 100nm memory design
Author :
Nho, H. ; Yoon, S.-S. ; Wong, S. ; Jung, S.O.
Author_Institution :
Stanford Univ., Stanford
Abstract :
A new statistical simulation methodology under process variations in deep sub-micron technology is described. By dividing the overall memory system into sub-blocks and running Monte Carlo simulations locally, significant reduction in the statistical simulation time is achieved. A novel methodology to combine the simulation results and accurately predict the read access failure of the overall system is also presented. This allows allocation of design margins and setting of design guidelines for each sub-block in the early design stage.
Keywords :
Monte Carlo methods; failure analysis; integrated circuit design; integrated circuit reliability; logic design; semiconductor storage; Monte Carlo simulations; design guideline; design margin; memory design; read access failure; satistical simulation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20070394