AWS for Industries

Visit AWS at DAC 2021

Design Automation Conference | Dec 5 – 9, 2021| Moscone West, San Francisco, CA

The 2021 Design Automation Conference (DAC) is right around the corner! Join AWS at this year’s event located in the Moscone West, San Francisco, CA. We invite you to visit the AWS Booth #1252 and meet with our team of onsite experts ready to help answer your questions.

DAC is the premier event devoted to the design and design automation of electronic systems and circuits. DAC focuses on the latest methodologies and technology advancements in electronic design. The 58th DAC will bring together researchers, designers, practitioners, tool developers, students and vendors. Click here to view the full program. 

AWS Speaking Sessions

Session: Cloud-Based Design for Design, Verification, and Manufacturing

Time: Monday, December 6th, 12:30pm – 1:15 pm PST (Located in Design on Cloud Theater)

Presenter: David Pellerin, Amazon Web Services

Abstract: Modern silicon design requires collaboration with worldwide stakeholders, using a wide range of EDA and IP products. Cloud enables distributed teams to more closely manage and monitor their EDA and IP assets during collaborative projects, while also allowing actionable insights on design, verification, and manufacturing-related data. This talk includes an overview of how Amazon semiconductor teams use cloud for secure collaboration, as well as highlighting how the secure sharing of data can benefit the entire semiconductor supply chain from design and verification, to fab and packaging.

Session: Utilizing the Cloud to Increase Library Characterization Throughput and Reduce Schedule Bottlenecks

Time: Monday, December 6th 4:00pm – 4:15pm PST (Located in 2008)

Kenneth Chang, Amazon Web Services
Dnyanesh Digraskar, Amazon Web Services
Matthieu Fillaud, Siemens EDA
Wei-Lii Tan, Siemens EDA

Abstract: Today, SPICE-based characterization of Liberty (.lib) models for modern standard cell libraries involves running hundreds of millions of SPICE simulations, with the amount of simulations needed increasing exponentially over the past few years, due to added quantity and complexity of data in .lib models.

Due to the high amount of computation required, library characterization teams routinely utilize hundreds to thousands of CPUs during each characterization run, and require days or weeks of schedule time to complete each characterization iteration for a given set of .libs. This presents a significant challenge for library teams and IT infrastructure teams trying to meet design schedules while balancing computational hardware costs.

In this paper, we present the steps taken and the choices made in setting up a cloud environment for characterization workloads, and quantify scaling efficiency results from a validated test case. Overall, we find that with the correct configuration, cloud is a valid method providing “burst” compute power to accelerate high priority workloads, while being able to off-load on-premises tasks when needed.

Visit the AWS Booth #1252

Come stop by the AWS booth #1252, located in the Moscone Center West Hall, Level 1, in the Design on Cloud Pavilion. We will have 2 meeting rooms at our booth for scheduled and ad-hoc meetings as well as 2 demo pods.

This year at DAC, NetApp and AWS will jointly demo customer EDA verification environments running in a Hybrid Cloud configuration, leveraging the recently announced Amazon FSx for NetApp ONTAP. The demo will show our ability to rapidly, securely, and elastically move design tools and libraries from the Datacenter to the Cloud. Workload management tools are used to dynamically allocate resources required by jobs submitted for execution, highlighting unique automation capabilities provided by the NetApp and AWS partnership for EDA workflows, enabling cloud-scale performance and seamless data movement between the Datacenter to the Cloud.

On the other side of our booth we will also have an overview and demo of the AWS Solution, Scale-out Computing on AWS, demonstrating how it can be used to deploy a turn-key EDA computing environment in minutes.

We look forward to seeing you in San Francisco!

For more information on AWS for Semiconductor, visit our website.

To learn more about the event, visit the DAC event website.

Caroline Lawrence

Caroline Lawrence

Caroline serves as a Marketing Manager for Manufacturing at Amazon Web Services. Caroline brings a diverse international marketing background with experience in graphic design, social media management, public relations, and small business development strategy. Across the scope of her career, Caroline has led and facilitated several innovative projects focusing on audience growth, thought leadership engagements, and marketing ROI analysis.

David Pellerin

David Pellerin

David Pellerin serves as Head of Worldwide Business Development for Infotech/Semiconductor at Amazon Web Services. Prior to joining AWS, Mr. Pellerin had a career in electronic design automation and hardware-accelerated reconfigurable computing. He has experience with digital logic simulation and optimization, high-level synthesis, grid and cluster computing, and embedded systems for image, video, and network processing. He has published five Prentice Hall technical books.

Mark Duffield

Mark Duffield

Mark Duffield is a Worldwide Tech Leader at Amazon Web Services, focusing on the semiconductor industry. Prior to joining AWS, he was a High Performance Computing SME at IBM, and designed multi-petabyte solutions at DDN Storage. He has deep experience with HPC, cluster computing, enterprise software development, and distributed file systems. He architects solutions in several verticals, to include electronic design automation, weather modeling and forecasting, manufacturing, and scientific simulations.