High Capacity Power Signoff Using Big Data
Check new webinar of ANSYS Software products – ANSYS, Machine Learning Applications, Cutting-Edge AI, Big Data, SoC Power Signoff Solution, NVIDIA, Powerful GPU, Designer,IP track, Design Automation Conference 2017 (DAC 2017), DAC 2017, Methodology, Silicon Measurement Results, RedHawk-SC, Simulated Voltage Values, Volta Chip, Silicon Correlation Exercises, NVIDIA’s Largest GPU – Volta, 21 Billion Transistors, ANSYS RedHawk-SC, Big Data Solution, Full-Chip Power Integrity, Webinar.
Date – November 14, 2017, Time – 11:00 AM – 12:00 PM (EST)
Speaker – Online via WebEx, ( email@example.com )
Cost – Free
Link – High Capacity Power Signoff Using Big Data
In this webinar, learn how NVIDIA has developed a workflow to run a flat, full-chip power integrity and reliability signoff analysis using a fully distributed compute and big data solution with ANSYS RedHawk-SC. They achieved a turn-around time of well under 24 hours for full-chip flat power signoff analysis on NVIDIA’s largest GPU – Volta, which contains around 21 billion transistors. Additionally, silicon correlation exercises performed on the Volta chip using RedHawk-SC produced simulated voltage values that were within 10 percent of silicon measurement results.
About webinar –
This methodology was published in the Design Automation Conference 2017 (DAC 2017) Designer/IP track poster session. Discover how NVIDIA’s most powerful GPU uses ANSYS’ next generation SoC power signoff solution based on big data to deliver the best performance for cutting-edge AI and machine learning applications.