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Giga-scale Parallel SPICE Simulator taking Pure SPICE Capacity to the 100M+ Element Level

Original Air Date: Apr 25, 2013 | Duration: 60 minutes Webinar
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Overview:
Traditionally designers use SPICE for accuracy and FastSPICE for capacity or performance. Parallelization has helped improve capacity and performance of SPICE. FastSPICE has not improved sufficiently in accuracy and usability, especially when you consider process variation effects and for low power designs. This webinar will demonstrate how NanoSpice pushes Parallel SPICE capacity to greater than 100M element levels and will share performance benchmarking data. Analog and Memory application cases will be shown as well as NanoSpice use cases with High Sigma Monte Carlo.

What attendees will learn:

  • About the evolution of simulator technology over generations in response to design trends
  • Simulation speedup benchmarking for challenging and large pre-and post-layout memory and analog designs
  • About speedup delivered by tightly integrated simulator and variation analysis tools
  • How NanoSpice is used along with IBM-licensed High Sigma Monte Carlo solution for yield optimization
Who should attend:
Engineers and managers designing at deep nanometer technology nodes or working on complex low power designs.

Attendees will also have a chance to interact with the presenter during a 10-minute Q&A session. Attendees can also contact ProPlus (t-support@proplussolution.com) directly after the Webinar.

Presenter:
Dr. Bruce McGaughy, Chief Technology Officer & Senior Vice President of Engineering, ProPlus
Dr. Bruce McGaughy currently serves as the Chief Technology Officer and Senior Vice President of Engineering of ProPlus Design Solutions, Inc. He was most recently the Chief Architect of Simulation Division and Distinguished Engineer at Cadence Design Systems Inc. Dr. McGaughy previously also served as a R&D VP at BTA Technology Inc. and Celestry Design Technology Inc., and later an Engineering Group Director at Cadence Design Systems Inc.

Dr. McGaughy holds a Ph.D. degree in EECS from the University of California at Berkeley.

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