Hands-On Training

DAC offers attendees the opportunity to attend high-quality training sessions in popular subjects from leading training providers. All sessions are taught by highly respected instructors who are each subject matter experts and who have a wide experience of teaching engineers at all skill levels.   There is no better time than now to enhance your skills. Don't miss this opportunity to upskill and enable your internal customers to deliver chips faster!

Training Sessions

Build a Cadence Burst-to-Cloud Workflow with NetApp "Design Anywhere" on AWS

​July 11, 2023 | 10:15 am - 1:15 pm

Presenter: Jim Holl, Distinguished Engineer, NetApp

Co-Presenters: Sunghwan Son, Principal Solutions Architect, AWS; Kushal Koolwal, Business Development Director, Cadence

Join NetApp, AWS, and Cadence to learn how easy it is to setup hybrid cloud architecture for demanding EDA workloads. You will get hands-on experience setting up and enabling Cadence Xcelium Simulation tool for your most demanding multi-region EDA workflows with AWS FSx NetApp for ONTAP. Help accelerate chip design used in the Automotive, Healthcare, and Financial industries.


Increase Throughput and Productivity with Cadence Tools in the Cloud Using Flexible AWS Compute Choices

July 11, 2023 | 2:45 pm - 5:45 pm

Presenter: Eran Brown, Sr. Semiconductor Solutions Architect, AWS

Co-Presenter: Eamon O'Gorman, Cadence

With the variety of EDA tools required to deliver a modern design, optimizing time to results for each workload can lead to better coverage and increased engineering productivity. However, some EDA workloads require faster CPUs, some require larger L3 cache, while others depend on the RAM/core ratio. Using AWS, customers can find the optimal compute options to run their Cadence tools. In this hands-on workshop we learn how to find the right compute option for your Cadence tool, and learn how R&D can optimize their design and verification processes by proactively choosing the type of HPC hosts used to run Cadence workloads in AWS. Each user will benchmark multiple compute types and learn how to calculate cost/performance trade-offs for their own workload.


Attendees for the hand-on training are required to bring laptops.

All attendees must register for DAC to attend training sessions at DAC.