Tag: semiconductor

Introduction Silicon designers are creating increasingly complex designs to address ever-increasing demand from customers. Increased complexity poses challenges to electronic design automation (EDA) applications that help with manufacturability and functionality of the designs on silicon. Physical verification is an integral part of the silicon design system that identifies design layout issues prior to its production […]

This year AWS is excited to exhibit at SEMICON West in San Francisco, July 12-14, 2022. Read this blog to learn more about the show, our booth exhibit, speaking sessions, and opportunities to engage with us at both SEMICON West and DAC. One ticket, two conferences! About SEMICON West and DAC SEMICON West 2022 connects […]

Introduction Designing semiconductor requires High Performance Computing (HPC) to run Electronic Design Automation (EDA) tools. These workloads vary over time in both the amount and type of compute resources required. This makes it an ideal workload for the elasticity of the cloud. Customers choose optimal instance types to optimize each tools runtime. This reduces time-to-results […]

In 2021, NXP selected AWS as its preferred cloud partner to migrate the vast majority of its silicon design workloads from NXP data centers to AWS. The migration is well underway, and a number of teams have already taped out projects in their AWS cloud environment. In this blog post, we share more about NXP’s […]

Introduction Silicon design teams are constantly under pressure to deliver more efficient products faster, while keeping costs low. Electronic Design Automation (EDA) infrastructure teams, which provide compute, storage, and other IT resources to silicon design teams, can play a critical role in shrinking the RTL-to-GDSII cycle. Historically, compute capacity for EDA workloads has come from […]

Introduction Chip design is not only compute and memory intensive, it also requires varying amounts of resource in different Integrated Circuit (IC) design phases: some frontend tools are single threaded and CPU bound, while backend tools rely on high performance storage and large memory. Fixed-size compute farms on-premises result in jobs waiting in queue for […]

Introduction This post will walk you through the configuration of this powerful EDA solution and provide performance benchmarks. Semiconductor design simulation, verification, lithography, metrology, yield analysis, and many other workloads benefit from the scalability and performance of the AWS Cloud. For example, the by latest generation EC2 instance types enhance compute performance for these applications. […]

58th Annual Design Automation Conference The 58th annual Design Automation Conference took place in San Francisco from December 5 – 9, 2021. The Design Automation Conference (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. […]

Introduction This blog discusses the insights Ansys and AWS were able to gain by scaling Ansys RedHawk-SC on the AWS Cloud. The joint investigation outlines how to right-size AWS compute and storage resource for optimal price/performance results while running at scale. By combining the capabilities of Ansys RedHawk-SC with being able to scale compute resources […]

Design and Verification Conference 2021 (DVCon) The Design and Verification Conference (DVCon) is the leading event covering the application of languages, tools and intellectual property for the design and verification of electronic systems and integrated circuits. Sponsored by Accellera Systems Initiative™, DVCon brings chip architects, design and verification engineers, and IP integrators the latest methodologies, […]