Arteris Articles

Semiconductor Engineering: Last-Level Cache Video

Tech Talk Video: Last-Level Cache 

April 6th, 2020 - By Ed Sperling

Kurt Shuler, vice president of marketing at Arteris IP, explains how to reduce latency and improve performance with last-level cache in order to avoid sending large amounts of data to external memory, and how to ensure quality of service on a chip by taking into account contention for resources.

Topics: network-on-chip semiconductor CodaCache tech talk video on-chip memory data centers memory hierarchy semiengineering

Semiconductor Engineering: Tech Talk - Changes In AI SoCs

Tech Talk Video: Changes In AI SoCs 


March 16,  2020 - By Ed Sperling

Ed Sperling of Semiconductor Engineering interviews Kurt Shuler at Arteris IP headquarters in this new video.

Arteris IP’s Kurt Shuler talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling.

Topics: semiconductor AI tech talk video SoCs kurt shuler

Semiconductor Engineering: Tech Talk - CXL vs. CCIX Video

Tech Talk Video: CXL vs. CCIX 


March 11,  2020 - By Ed Sperling

Ed Sperling interviews Kurt Shuler at Arteris IP headquarters about the differences between CXL and CCIX.

Arteris IP’s Kurt Shuler talks about how these two standards differ, which one works best where, and what each was designed for.

Topics: semiconductor IoT automotive CCIX neural networks AI tech talk video CXL

SemiWiki: Trends in AI and Safety for Cars

Kurt Shuler, VP of Marketing at Arteris IP updates Bernard Murphy (SemiWiki) on how trends in AI and safety are changing the design considerations for smart features in our cars in this new blog:

Trends in AI and Safety for Cars

February 3rd, 2020 - By Bernard Murphy

The potential for AI in cars, whether for driver assistance or full autonomy, has been trumpeted everywhere and continues to grow. Within the car we have vision, radar and ultrasonic sensors to detect obstacles in front, behind and to the side of the car. Outside the car, V2x promises to share real-time information between vehicles and other sources so we can see ahead of vehicles in front of us, around corners to detect hazards, and see congested traffic and emergency vehicles. Also this AI can improve on the fly, adapting to new conditions through training updates from the cloud. 

Topics: SoC semiconductor automotive automotive functional safety ArterisIP ISO 26262 compliance artificial intelligence AI semiwiki kurt shuler noc interconnect cache coherence SOTIF (ISO 21448 UL 4600