Tag: EDA

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 […]

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 […]

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 […]

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 […]

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. […]

Overview Electronic Design Automation (EDA) workloads present unique challenges to compute grids, complex file-based storage systems, and scalability requirements. Semiconductor companies are rapidly growing compute and storage resources needed to meet their product complexity and density, development lifecycle and time to market requirements. Semiconductor clients are leveraging virtually unlimited compute, storage, and other resources available […]

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 […]

Introduction Photolithography is a key step in the manufacturing of semiconductor chips. Photolithography works by shining light (laser) through a pattern (mask) onto a silicon wafer with photosensitive coating (resist). This changes the properties of the coating allowing manufactures to chemically remove the parts of the coating based on the exposure or lack of exposure […]