AWS for Industries

Category: Semiconductor

Using Cadence’s Pegasus Physical Verification with TrueCloud, customers benefit from 2X walltime savings using Amazon EC2 X2iezn Instances

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 […]

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Visit AWS at SEMICON West and DAC, July 12-14 in San Francisco, CA

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 […]

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Predict the cost of Electronic Design Automation on AWS using simulation

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 […]

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Simplifying microelectronics education labs with Ruby Cherry EDA on AWS

University faculty members and non-profit organizations looking to improve the training experience for the next generation of microelectronics engineers face multiple challenges with the computing environment required, both technical and organizational. In this blog we will review these challenges, and how to solve them using ready-made solutions on AWS and how these solutions can scale […]

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How NXP is Moving Chip Design to AWS

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 […]

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Driving High Performance and Efficient Physical Verification with Synopsys IC Validator on Amazon EC2 X2iezn Instances

Introduction Chip designs are increasing in complexity and size, which has resulted in additional transistors driving a need for greater processing power and memory. Greater silicon complexity makes physical verification with electronic design automation (EDA) applications more essential as any delays close to tape-out significantly impact production timelines. Silicon designers now require increased CPU and […]

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Broadcom reduces workbench testing time and cost with AWS Lambda and AWS Glue

Introduction Workbench testing is a key step in the manufacturing of semiconductor chips. Testing consists of sending electrical signals to semiconductor devices and comparing output signals to expected values. It is essential to ensure that the produced devices work according to specifications. Workbench testing is also time consuming and costly, so we do not want […]

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EDA Scale with FSx for NetApp ONTAP and IBM LSF

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 […]

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Industrial digital transformation: Using AWS to win freedom from pilot purgatory

Introduction Digital transformation is not a buzzword anymore. In fact, the last 18 months of the COVID-19 pandemic have upended the very nature of work to the extent that we are currently experiencing what many are calling the “Great Resignation.” The new normal is quite different; remote work is here to stay. If companies do […]

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Building Elastic HPC Clusters for EDA with Altair on AWS

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 […]

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