Automotive AI Hardware: A New Breed


Arteris IP functional safety manager Stefano Lorenzini recently presented “Automotive Systems-on-Chip (SoCs) with AI/ML and Functional Safety” at the Linley Processor Conference. A main point of the presentation was that conventional wisdom on AI hardware markets is binary. There’s AI in the cloud: Big, power-hungry, general-purpose. And there’s AI at the edge: Small, low power, limited... » read more

NoCs In Authoritative MPSoC Reference


The MPSoC Forum, sponsored by IEEE and other industry associations, hosts an annual conference in beautiful places around the planet. It is dedicated to showcasing renowned academic and industry experts in multicore and multiprocessor architectures. The goal is to explore trends in system-on-chip (SoC) hardware and software architectures and applications. An additional purpose is to consider th... » read more

SoC Integration Complexity: Size Doesn’t (Always) Matter


It’s common when talking about complexity in systems-on-chip (SoCs) to haul out monster examples: application processors, giant AI chips, and the like. Breaking with that tradition, consider an internet of things (IoT) design, which can still challenge engineers with plenty of complexity in architecture and integration. This complexity springs from two drivers: very low power consumption, eve... » read more

An Acquisition To Streamline SoC Integration


Late last year Arteris IP closed its acquisition of Magillem assets, bringing together two companies with a single mission: To support integration of systems-on-chip (SoCs) at the interconnect fabric level and the data integration level. The value of joining forces has been appealing for some time. Since the early days of both companies, we’ve been working with mutual customers and integratio... » read more

Learning ISO 26262 – 2nd Edition


You might think that when you get into a debate with a customer or a supplier about the exact interpretation of some aspect of ISO 26262, all you have to do is go to the standard, look it up, and there’s the answer you all need, plain as day. That would be ideal but often doesn’t reflect reality. To realize why, you have to understand the background to the standard. A short ISO 26262 o... » read more

AI Design In Korea


Like many in the semiconductor design businesses, Arteris IP is actively working with the Korean chip companies. This shouldn’t be a surprise. If a company is building an SoC of any reasonable size, it needs network-on-chip (NoC) interconnect for optimal QoS (bandwidth and latency regulation and system-level arbitration) and low routing congestion, even in application-centric designs such as ... » read more

The Role Of NoCs In System-Level Services


The primary objective of any network-on-chip (NoC) interconnect is to move data around a chip as efficiently as possible with as little impact as possible on design closure while meeting or exceeding key design metrics (PPA, etc.). These networks have become the central nervous system of SoCs and are starting to play a larger role in system-level services like quality of service (QoS), debug, p... » read more

An Automotive Value Chain In Flux


When companies view suppliers from inside their specialized niches, it is tempting to imagine the business world will continue as-is, with just minimal improvements each year. But in the automotive value chain, this no longer holds. The rapid pace of innovation around intelligent systems in cars is disrupting the business flow. Back in simpler times, semiconductor companies would work with Tier... » read more

Building Your Own NoC And The Hazards Of (Not) Changing


There is a perennial challenge that all R&D organizations face – how much of what we develop is essential to our competitive advantage and how much can be acquired at lower cost and risk rather than built from scratch? It’s easy to believe in the heat of battle that everything we are doing must be crucial. But the world continues to change around us. What was optional yesterday may be e... » read more

AI, Performance, Power, Safety Shine Spotlight On Last-Level Cache


Memory limitations to performance, always important in modern systems, have become an especially significant concern in automotive safety-critical applications making use of AI methods. On one hand, detecting and reporting a potential collision or other safety problem has to be very fast. Any corrective action is constrained by physics and has to be taken well in advance to avoid the problem. ... » read more

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