The Symbiotic Relationship Between Moore's Law and Computational Modeling
Moore's law (that the number of transistors on integrated circuits doubles every 18 mo.) is often cited as a key enabling phenomenon for computational modeling. Initially an observation the law has now become more self fulfilling as it is part of the driving considerations for the International Technology Roadmap for Semiconductors (ITRS). While there is no doubt that this phenomenon is a key driver in computational modeling, what is less cited is how computational modeling in-turn enables progressively higher transistor densities, better architectures, reliability and speed. This presentation will discuss some of the computational modeling contributions to the enabling of Moore's law including examples from WFE (wafer fabrication equipment) modeling and IC device level modeling including solid, fluid, electrical and plasma modeling. Future trends including molecular dynamics and quantum chemistry modeling are briefly discussed.
Pete Woytowitz leads the Computational Modeling and Reliability group in Central Engineering at Lam Research Corporation. Pete's specializations include modeling and optimization of complex systems including feature scale level modeling of stress, thermal, dynamics and reliability. Prior to joining Lam he was a Principal Engineer at Engineering Mechanics Technology. He has also worked at Failure Analysis Associates, Loral Space Systems and Boeing Commercial Airplane Company. Pete is an Adjunct Professor at Santa Clara University and a CA Registered Professional Engineer. He has degrees from University of Maryland, Stanford University and Santa Clara University where he received his Ph.D. in Mechanical Engineering. He has been awarded 3 U.S. Patents and has over 30 papers in the open literature.