industry news
Subscribe Now

Cadence Delivers Automotive Reference Flow for Samsung Foundry 14LPU Process Technology

Highlights:

  • Complete Cadence RTL-to-GDS digital full flow finely tuned for automotive safety, quality and reliability requirements, enabling accurate, first-time silicon
  • Flow demonstrated on Cadence Tensilica ConnX B10 DSP, which is ideal for automotive radar, lidar and V2X applications

    SAN JOSE, Calif., April 8, 2021—Cadence Design Systems, Inc. (Nasdaq: CDNS) today announced the availability of an automotive-optimized Cadence® digital full flow for Samsung Foundry’s 14LPU process technology. The Cadence flow was demonstrated using the high-performance, low-power Cadence Tensilica® ConnX B10 digital signal processor (DSP) for automotive radar, lidar and vehicle-to-everything (V2X) applications. By collaborating with Samsung Foundry, the new Cadence reference flow enables automotive designers to quickly deliver accurate first-time silicon and achieve power, performance and area (PPA) goals.

    In addition to enabling first-pass silicon and optimal PPA, the Cadence flow ensures that designers meet critical criteria for automotive designs:
    Quality/Reliability: The flow reduces defects out of the manufacturing process, meeting the AEC-Q100 Grade 1 requirement for automotive reliability, thereby ensuring the device meets requirements throughout its lifetime.
    Safety: The flow enables system-on-chip (SoC) designs that avoid unreasonable risk due to hazards caused by malfunctions, meeting ASIL B requirements.

    About Cadence
    Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications, including consumer, hyperscale computing, 5G communications, automotive, mobile, aerospace, industrial and healthcare. For six years in a row, Fortune magazine has named Cadence one of the 100 Best Companies to Work For. Learn more at cadence.com.

Leave a Reply

featured blogs
Nov 12, 2024
The release of Matter 1.4 brings feature updates like long idle time, Matter-certified HRAP devices, improved ecosystem support, and new Matter device types....
Nov 7, 2024
I don't know about you, but I would LOVE to build one of those rock, paper, scissors-playing robots....

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Aug 12, 2024
56,175 views