3 Safety Standards For Auto Electronics


Kurt Shuler, vice president of marketing at Arteris IP, drills down into the three main safety standards, ISO 26262, SOTIF (Safety of the Intended Function) and UL 4600, what each one covers, what the intent is behind them, and what this means for companies developing technology for future vehicles. » read more

A Promising Future For Interconnect IP


Complexity of SoC designs continues to increase primarily due to increased demand for functionality and performance in all electronic devices. Studies that Semico Research has conducted on the SoC design landscape shows the number of discrete SIP blocks has continued to rise in response to increased market requirements from new applications and richer feature sets. Table 1: Comparison of 1st... » read more

Taking Self-Driving Safety Standards Beyond ISO 26262


I participated in a couple of sessions at Arm TechCon this year, the first on how safety is evolving for platform-based architectures with a mix of safety-aware IP and the second on lessons learned in safety and particularly how the industry and standards are adapting to the larger challenges in self-driving, which obviously extend beyond the pure functional safety intent of ISO 26262. Here I w... » read more

Power Dissipation Of The Network-On-Chip In A System-on-Chip For MPEG-4 Video Encoding


An oldie but a goodie: Explains power benefits of NoC technology by characterizing a multi-processor system-on-chip (MPSoC) for MPEG4, AVC/H.264 encoding. Explains NoC power model used to analyze power consumption and dissipation. Includes: Description of multi-processor system-on-chip (MPSoC) for Multi-Processor System-on-Chip (MPSoC) for MPEG4, AVC/H.264 encoding Explanation of N... » read more

Safety Islands In Safety-Critical Hardware


Safety and security have certain aspects in common so it shouldn’t be surprising that some ideas evolving in one domain find echoes in the other. In hardware design, a significant trend has been to push security-critical functions into a hardware root-of-trust (HRoT) core, following a philosophy of putting all (or most) of those functions in one basket and watching that basket very carefully.... » read more

In-System Networks Are Front And Center


This year’s HotChips conference at Stanford was all about artificial intelligence (AI) and machine learning (ML) and what particularly struck me, naturally because we’re in this business too, was how big a role on-chip networks played in some of the leading talks. NVIDIA talked about their scalable mesh architecture, both on-chip and in-package, meshes connecting processing NN processing el... » read more

Autonomous Vehicles Are Reshaping The Tech World


The effort to build cars that can drive themselves is reshaping the automotive industry and its supply chain, impacting everything from who defines safety to how to ensure quality and reliability. Automakers, which hardly knew the names of their silicon suppliers a couple of years ago, are now banding together in small groups to share the costs and solve technical challenges that are well be... » read more

Re-Architecting SoCs For The AI Era


The growth of artificial intelligence (AI) demands that semiconductor companies re-architect their system on chip (SoC) designs to provide more scalable levels of performance, flexibility, efficiency, and integration. From the edge to data centers, AI applications require a rethink of memory structures, the numbers and types of heterogeneous processors and hardware accelerators, and careful con... » read more

Chiplets, Faster Interconnects, More Efficiency


Big chipmakers are turning to architectural improvements such as chiplets, faster throughput both on-chip and off-chip, and concentrating more work per operation or cycle, in order to ramp up processing speeds and efficiency. Taken as a whole, this represents a significant shift in direction for the major chip companies. All of them are wrestling with massive increases in processing demands ... » read more

Where Should Auto Sensor Data Be Processed?


Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest because there is a long list of technological issues that still need to be resolved. One of the basic problems that still needs to be solved is how to process the tremendous amount of data coming from the variety of sensors in the vehicle, including cameras, radar, LiDAR and sonar. That data is the dig... » read more

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