Arteris Articles

Semiconductor Engineering: Edge Complexity To Grow For 5G

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

Edge Complexity To Grow For 5G

July 2nd, 2019 - By Kevin Fogarty and Ed Sperling

Increased interdependence of technologies will drive different architectures and applications. 

It gets even more complicated in the automotive world than other any other markets because of safety-critical circuitry.

“You may have to reboot part of the chip for a failed operation, while keeping the rest of it operating in a safe state,” said Kurt Shuler, vice president of marketing at Arteris IP. “If you think about the space shuttle or a Boeing 777, the black boxes are 20 pounds. You can’t have that in a car. There is a lot of functional safety being done at the microprocessor level to save cost. That can be used to spy on what’s happening at the system level, so if there are problems you can isolate them and in a safe state and fail gracefully. If there is a transient error, you reboot.”

For more information, please download the Arteris FlexNoC AI Package data sheet; http://www.arteris.com/download-flexnoc-ai-package-datasheet

Topics: SoC functional safety FPGAs semiconductor engineering flexnoc ai package noc interconnect ML

Semiconductor Engineering: What Makes A Good Accelerator

Kurt Shuler, VP of Marketing at Arteris IP, comments on 'What needs to be accelerated' in this Semiconductor Engineering article:

What Makes A Good Accelerator

 

October 25th, 2018 - By Ann Steffora Mutschler

Topics: FPGAs machine learning neural network semiconductor engineering soc architecture arteris ip SoCs

SemiWiki: On-Chip Networks at the Bleeding Edge of ML

On-chip networks become a lot more challenging at the high-end of machine learning (ML). Bernard Murphy (SemiWiki) talked with Kurt Shuler, VP Marketing at Arteris IP, about the experience they have developed over the years of working with well-known ML product builders and how this has influenced  the AI package recently released by Arteris IP in this SemiWiki blog:

On-Chip Networks at the Bleeding Edge of ML 

November 29th,  2018 - By Bernard Murphy

I wrote a while back about some of the more exotic architectures for machine learning (ML), especially for neural net (NN) training in the data center but also in some edge applications. In less hairy applications, we’re used to seeing CPU-based NNs at the low end, GPUs most commonly (and most widely known) in data centers as the workhorse for training, and for the early incarnations of some mobile apps (mobile AR/MR for example), FPGAs in applications where architecture/performance becomes more important but power isn’t super-constrained, DSPs in applications pushing performance per watt harder and custom designs such as the Google TPU pushing even harder.

Topics: SoC NoC FPGAs semiconductor machine learning FlexNoC semiwiki kurt shuler AI chips flexnoc ai package

Semiconductor Engineering: FPGAs Drive Deeper Into Cars

Ty Garibay, CTO at Arteris IP, provides his expertise in this Semiconductor Engineering article:

FPGAs Drive Deeper Into Cars

 

July 9th, 2018 - By Ann Steffora Mutschler

Topics: FPGAs semiconductor autonomous vehicles autonomous driving semiconductor engineering arteris ip LIDAR SoCs