Arteris Articles

Semiconductor Engineering: Optimizing NoC-Based Designs

Paul Graykowski, Senior Technical Marketing Manager at Arteris IP authored this Semiconductor Engineering article:

Optimizing NoC-Based Designs

May 5th, 2022 - By Paul Graykowski

Further optimization of RTL repartitioning with switching from crossbar interconnects to NoCs.

Semiconductor development is currently in a phase of rapid evolution driven by the combination of new technologies and methodologies. The technique of combining multiple functions into systems-on-chips (SoCs) is continuing to grow in complexity. Rapid advancement in new technologies for market segments like data centers, robotics, ADAS and artificial intelligence/machine learning (AI/ML) are resulting in a new breed of SoCs. These fields demand designs that are maximized for both power and performance efficiency. Designers are finding that networks-on-chip (NoCs) provide the enabling technology to meet this demand and are accelerating the move away from crossbar interconnect technology.

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Topics: network-on-chip timing closure ADAS semiconductor engineering latency bandwidth SoCs congestion logic RTL data centers AI/ML NoCs floorplan Arteris IP (AIP) Paul Graykowski partitioning physical design crossbar interconnect robotics

Semiconductor Engineering: Automotive Outlook: 2022

Kurt Shuler, VP of Marketing at Arteris IP is quoted in this Semiconductor Engineering article:

Automotive Outlook: 2022

January 7th, 2022 - By Ann Steffora Mutschler

Short-term IC supply-chain problems and long-term architectural and business changes top the list of what's ahead.


“Here, initially it was algorithms and AI or machine learning on visual inputs. Then, lidar and radar data was added to that in a sensor fusion function. That is then overlaid with mapping. This means even more hardware architectures are driven by the needs of the software," said Kurt Shuler, vice president of marketing at Arteris IP.

Topics: functional safety ISO 26262 network-on-chip automotive ADAS machine learning mobileye semiconductor engineering AI arteris ip LIDAR SoCs EDA 5G Tier 1s NoCs Tesla Arteris IP (AIP)

Semiconductor Engineering: Long-Haul Trucking With Fewer Drivers

Kurt Shuler, Vice President of Marketing at Arteris IP is quoted in this new article in Semiconductor Engineering:

Long-Haul Trucking With Fewer Drivers

September 13th, 2021 - By Ann Steffora Mutschler

The economics are compelling, but technology challenges abound that are unique to this market.


Interestingly, when Intel-owned Mobileye started out with its technology, the first market was aftermarket selling to trucks. “The idea was that — and it was true — if you purchase this Mobileye system and install that in your fleet of trucks, your insurance would go down,” said Kurt Shuler, vice president of marketing at Arteris IP. “That was the value proposition, and it retrofitted these capabilities onto these trucks. There’s a lot of liability with these trucks when there’s an accident. That’s why companies like FedEx Ground, and Amazon, instead of doing like UPS and saying, ‘These trucks are part of our fleet. We own them,’ they’re independent contractors. And so if your Amazon delivery or your FedEx Ground delivery crashes at FedEx, it’s the responsibility of the contractor because of the liability around that. There are incentives in the economics for these kinds of things to add the capabilities.”

Topics: automotive ADAS mobileye ArterisIP autonomous driving semiconductor engineering arteris ip SoCs kurt shuler EDA autonomous trucking

EE Times article, AI Startups Plateau, AI SoCs Soar, and the Edge Diverges

Laurent Moll, Chief Operating Officer at Arteris IP, sits down with Junko Yoshida in this new EE Times article.

May 13th, 2021 - by Junko Yoshida

Laurent Moll, chief operating officer at Arteris, predicts that in the future, “everyone has some kind of AI in their SoCs.” That is good news for Arteris, because its business is in helping companies (large and small, or new and old) integrate SoCs by providing network-on-chip (NoC) IP and IP development tools.

Topics: semiconductor ADAS eetimes AI SoCs AI chips data centers noc interconnect smartphones SoC IP hyperscalers googles TPU car OEMS edge ai