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CIO Applications Weekly Brief

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Editor's Pick (1 - 4 of 8)
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Synopsys Collaborates with SiMa.ai to Bring Machine Learning Inference at Scale to the Embedded Edge

By CIO Applications| Tuesday, October 20, 2020
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Since SiMa.ai's inception, it has strategically collaborated with Synopsys to support all aspects of its MLSoC architecture design and verification.

FREMONT, CA: Synopsys announced its collaboration with SiMa.ai to bring its machine learning inference at scale to the embedded edge. Through this engagement, SiMa.ai has adopted essential products from Synopsys DesignWare IP, Verification Continuum Platform, and Fusion Design Platform for the development of their MLSoC, a purpose-built machine-learning platform targeted at specialized computer vision applications, such as autonomous driving, surveillance, and robotics.

"Working closely with top-tier customers, we have developed a software-centric architecture that delivers high-performance machine learning at the lowest power. Our purpose-built, highly integrated MLSoC supports legacy compute along with industry-leading machine learning to deliver more than 30 times better compute-power efficiency, compared to industry alternatives," said Krishna Rangasayee, founder and CEO, at SiMa.ai. "We are delighted to collaborate with Synopsys towards our common goal to bring high-performance machine learning to the embedded edge. Leveraging Synopsys' industry-leading portfolio of IP, verification, and design platforms enables us to reduce development risk and accelerate the design and verification process."

SiMa.ai selected Synopsys because of its expertise in functional safety, complete set of proven solutions and models, and silicon-proven IP portfolio that will help the company deliver high-performance computing at the lowest power. With Synopsys' automotive-grade solutions, SiMa.ai can accelerate their SoC-level ISO 26262 functional safety assessments and qualification while achieving their target ASILs.

"We are pleased to support SiMa.ai as it brings MLSoC chip to market," said Manoj Gandhi, general manager of the Verification Group at Synopsys. "Our collaboration aims to address SiMa.ai's mission to enable customers to build low-power, high-performance machine learning solutions at the embedded edge across a diverse set of industries."

The Synopsys Fusion Design Platform solutions enable optimized implementation, including:

• Design Compiler synthesis solution

• PrimeTime for timing signoff

• PrimePower for power signoff

• Formality equivalence-checking solution

The industry-leading hardware and software verification solutions from the Verification Continuum platform enable scalable SoC verification, including:

• Virtualizer virtual prototyping for earlier and faster software development

• VCS simulation with the smallest memory footprint

• ZeBu Server for system verification, benchmarking, and power analysis

Synopsys' high-quality DesignWare IP enables rapid development of SiMa.ai's MLSoC, including:

• DesignWare ARC Embedded Vision Processor IP

• DesignWare MIPI, DDR, and PCI Express IP solutions

• DesignWare Foundation IP

• DesignWare Security IP

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