Security’s Very Strange Path To Success


Security at the chip level appears to be heading toward a more promising future. The reason is simple—more people are willing to pay for security than in the past. For the most part, security is like insurance. You don't know it's working until something goes wrong, and you don't necessarily even know right away if there has been a breach. Sometimes it takes years to show up, because it ca... » read more

Using Synopsys Z01X To Accelerate The Fault Injection Campaign Of A Fully Configurable IP


By Arteris IP Alexis Boutillier, Corporate Application Manager, Safety Manager, and Mohan Krishnareddy, Solution Engineer, at the Synopsys Users Group (SNUG), March 2018, Santa Clara, CA. Principles and real-world practices of ISO 26262 for semiconductor design teams. After providing an overview of how functional safety affects management, development, and supporting processes, the paper exp... » read more

Adding Order And Structure To Verification


You can't improve what you can't measure, and when it comes to methodologies the notion of measurement becomes more difficult. Add in notions of the skills, capabilities and experience levels of individuals within an organization, which may affect their ability to adopt certain technologies, and it requires considerable attention. This is where concepts such as capability maturity models (CM... » read more

Big Shift In Multi-Core Design


Hardware and software engineers have a long history of working independently of each other, but that insular behavior is changing in emerging areas such as AI, machine learning and automotive as the emphasis shifts to the system level. As these new markets consume more semiconductor content, they are having a big impact on the overall design process. The starting point in many of these desig... » read more

Fundamentals of Semiconductor ISO 26262 Certification: People, Process and Product


Written by Kurt Shuler, VP of Marketing at Arteris IP Developers of automotive semiconductor devices and electronic systems beware: There may be some vendors who claim their products meet the ISO 26262 safety standard requirements for integration into the production of passenger vehicles without fully understanding the nature of the challenge. These claims might be superficial if they fail... » read more

AI Training Chips


Kurt Shuler, vice president of marketing at Arteris IP, talks with Semiconductor Engineering about how to architect an AI training chip, how different processing elements are used to accelerate training algorithms, and how to achieve improved performance. https://youtu.be/4cnBCX-9jlk     See other tech talk videos here. » read more

What Makes A Good AI Accelerator


The rapid growth and dynamic nature of AI and machine learning algorithms is sparking a rush to develop accelerators that can be optimized for different types of data. Where one general-purpose processor was considered sufficient in the past, there are now dozens vying for a slice of the market. As with any optimized system, architecting an accelerator — which is now the main processing en... » read more

What Is SOTIF?


Arteris IP’s Kurt Shuler discusses new system-level best-practices approach to automotive design that will be used for both diagnostics and forensics when something goes wrong with autonomous vehicles. https://youtu.be/nC3TkF7c0Oo » read more

Adding Safety Into Automotive Design


The ISO 26262 spec is a household term for anyone even remotely involved with the automotive industry today. Increasingly, though, it is being used interchangeably with safety-readiness across the entire supply chain. ISO 26262 compliance is a prerequisite for IP and chips used in an increasing number of automotive applications. It applies to systems, software, and to individual products. An... » read more

Machine Learning Shifts More Work to FPGAs, SoCs


A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

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