HSPICE SIG 2018 Videolog

HSPICE SIG 2018 circuit simulation/analog verification video

Accelerating Robust AMS Design

The 2018 HSPICE SIG presentations focused on HSPICE advancements in circuit verification techniques, including using Machine Learning, for accelerating robust AMS designs.

The Synopsys HSPICE special interest group (SIG) is an active community for all HSPICE users and design engineers who want to stay connected with the latest developments in the field of circuit simulation.

On January 31, 2018, Synopsys hosted the 8th HSPICE SIG event in Santa Clara, CA. At this event, experts from industry-leading companies shared their experiences using HSPICE for some of their toughest designs, and participated in a panel discussion on using Machine Learning to improve circuit simulation efficiency and accelerate time-to-market.

Topics and Speakers

Event Emcee

Geoffrey Ying

Director, AMS Marketing, Synopsys

Engines to Accelerate Robust AMS Design

Scott Wedge

Principal HSPICE R&D Engineer, Synopsys

Full-chip Self-heat Prediction using Machine Learning

Chintan Shah

VLSI Engineer, NVIDIA

Using HSPICE and MATLAB for Global Clock Tree Design Closure

Jason Ferrell

Member of Technical Staff, AMD

Machine Learning Applications in Circuit Simulation

Mayukh Bhattacharya

Synopsys Scientist, Synopsys