Arteris Articles

Semiconductor Engineering: Where Should Auto Sensor Data Be Processed?

 Arteris IP's Kurt Shuler, Vice President of Marketing, comments in this latest Semiconductor Engineering article:

Where Should Auto Sensor Data Be Processed?

August 1st, 2019 - By Ann Steffora Mutschler

Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest...

 

Indeed, when it comes to processing the sensor data, a number of approaches currently point to allowing for scaling between different ADAS levels, but which the best way to do that is still up for debate.

“There must be an architecture they can do that with, and the question is, ‘How do you do that?'” said Kurt Shuler, vice president of marketing at Arteris IP. “There’s a lot of interest in getting more hardware accelerators to manage the communications in software, and directly managing the memory. For this, cache coherence is growing in importance. But how do you scale a cache coherent system? This must be done in an organized way, as well as adding a whole bunch of masters and slaves to it, such as additional clusters.”

For more information, please download the Arteris FlexNoC Interconnect IP data sheet; https://www.arteris.com/download-flexnoc-datasheet

Topics: SoC autonomous driving ArterisIP FlexNoC semiconductor engineering LIDAR noc interconnect cache coherence hardware accelerators

Semiconductor Engineering: Big Shift In Multi-Core Design

 Arteris IP's Kurt Shuler, Vice President of Marketing, adds commentary in this article in Semiconductor Engineering.

Big Shift In Multi-Core Design

April 3rd, 2019 - By Ann Steffora Mutschler

System-wide concerns in AI and automotive are forcing hardware and software teams to work together, but gaps still remain.

Minding the gap
There are indications that mindset is beginning to change, particularly in markets such as automotive where systemic complexity extends well beyond a single chip or even a single vehicle.

“In the past, if you were a software engineer, the thinking was, ‘I have this chip available. Here’s what I can produce with my software,'” said Kurt Shuler, vice president of marketing at Arteris IP. “Nowadays, especially in the ADAS side of things that have an AI component or some kind of programmable object detection for the ADAS functionality, or an AI chip—whether it’s for the data center, edge, inference or training—the thinking has shifted more to system-design decisions. If this is designed with this given set of software algorithms, it is clear what needs to happen at a system level from the hardware and software point of view. At what level of detail should I optimize this hardware for the particular software I expect to run? This means the hardware and the software are now much more tightly integrated in those use cases than they probably have ever been unless it’s a very detailed embedded application. So now, in the early stages of design for these types of chips, whether it’s the autonomous driving chips or the AI chips, the software architect is in there, too.”

This is a definite sign of progress. “Before, they didn’t care,” Shuler said. “The layer/API between hardware and software is becoming less generic and more specific for those kinds of use cases, solving those kinds of problems. What that means, though, is there are software guys who went to Stanford and trained on Java script and have no idea what a register is. Then there are hardware guys who have no idea what a hypervisor or object-oriented programming is.”

For more information on AI, please click on the Arteris FlexNoC AI Package webpage: http://www.arteris.com/flexnoc-ai-package.

Topics: SoC software automotive ADAS autonomous driving semiconductor engineering AI hardware noc interconnect

Semiconductor Engineering: Artificial Intelligence Chips: Past, Present and Future

Ty Garibay, CTO at Arteris IP, authored this Semiconductor Engineering article:

Artificial Intelligence Chips: Past, Present and Future

 

August 2nd, 2018 - By Ty Garibay

Topics: semiconductor memory autonomous vehicles autonomous driving semiconductor engineering deep learning arteris ip SoCs interconnects algorithms AI chips

Semiconductor Engineering: Regulations Trail Autonomous Vehicles

Ty Garibay, CTO at Arteris IP, shares his insight in this Semiconductor Engineering article:

Regulations Trail Autonomous Vehicles

 

July 9th, 2018 - By Kevin Fogarty

Topics: SoC semiconductor autonomous vehicles autonomous driving semiconductor engineering arteris ip safety