Arteris Articles

SemiWiki: Intelligence in the Fog

Kurt Shuler, VP Marketing at Arteris IP, and Bernard Murphy (SemiWiki) discuss the hottest domains in tech today - AI and automotive in this new SemiWiki blog:

Intelligence in the Fog

June 12, 2019 - By Bernard Murphy

AI is creeping into places we might not expect, such as communication infrastructure. Bernard Murphy learns from Kurt Shuler how AI and AI-centric design methods are becoming more important in this surprising domain.

By now, you should know about AI in the cloud for natural language processing, image ID, recommendation, etc, etc (thanks to Google, Facebook, AWS, Baidu and several others) and AI on the edge for collision avoidance, lane-keeping, voice recognition and many other applications. But did you know about AI in the fog? First, a credit – my reference for all this information is Kurt Shuler, VP Marketing of Arteris IP. I really like working with these guys because they keep me plugged in to two of the hottest domains in tech today – AI and automotive. That and the fact that they’re really the only game in town for a commercial NoC solution, which means that pretty much everyone in AI, ADAS and a bunch of other fields (e.g. storage) is working with them.

For more information, please visit the Arteris IP AI package webpage: http://www.arteris.com/flexnoc-ai-package

Topics: SoC semiconductor automotive ADAS artificial intelligence semiwiki kurt shuler flexnoc ai package noc interconnect

SemiWiki: What are SOTIF and Fail-Operational and Does This Affect You?

Kurt Shuler, VP Marketing at Arteris IP, and Bernard Murphy (SemiWiki) discuss Safety of the Intended Function (SOTIF) in this latest SemiWiki blog:

What are SOTIF and Fail-Operational and Does This Affect You?

May 22nd, 2019 - By Bernard Murphy

Standards committees, the military and governmental organizations are drawn to acronyms as moths are drawn to a flame, though few of them seem overly concerned with the elegance or memorability of these handles. One such example is SOTIF – Safety of the Intended Function – more formally known as ISO/PAS 21448. This is a follow-on to the more familiar ISO 26262. 

When you’re zipping down a busy freeway at 70mph and a safety-critical function misbehaves, traditional corrective actions (e.g., reset the SoC) are far too clumsy and may even compound the danger. You need something the industry calls “fail operational”, an architecture in which the consequences of a failure can be safely mitigated, possibly with somewhat degraded support in a fallback state, allowing for the car to get to the side of the road and/or for the failing system to be restored to a working state. According to Kurt Shuler (Arteris VP of marketing and an ISO 26262 working group member), a good explanation of this concept is covered in ISO 26262:2018 Part 10 (chapter 12, clauses 12.1 to 12.3). The system-level details of how the car should handle failures of this type are decided by the auto OEMs (and perhaps tier 1s) and the consequences can reach all the way down into SoC design. Importantly, there are capabilities at the SoC-level that can be implemented to help enable fail operational.

For more information, please visit the Arteris IP AI package webpage: http://www.arteris.com/flexnoc-ai-package

Topics: SoC semiconductor semiwiki kurt shuler flexnoc ai package ISO PAS 21448 noc interconnect SOTIF (ISO 21448

SemiWiki: ML and Memories: A Complex Relationship

Kurt Shuler, VP Marketing at Arteris IP, helped Bernard Murphy (SemiWiki) learn the multiple ways that different types of memory need to connect to these accelerators in the latest SemiWiki blog:

ML and Memories: A Complex Relationship

March 13th, 2019 - By Bernard Murphy

How do AI architectures connect with memories? The answer is more complex than in conventional SoC architectures.

No, I’m not going to talk about in in-memory-compute architectures. There’s interesting work being done there but here I’m going to talk here about mainstream architectures for memory support in Machine Learning (ML) designs. These are still based on conventional memory components/IP such as cache, register files, SRAM and various flavors of off-chip memory, including not yet “conventional” high-bandwidth memory (HBM). However, the way these memories are organized, connected and located can vary quite significantly between ML applications.

For more information, please visit the Arteris IP AI package webpage: http://www.arteris.com/flexnoc-ai-package

Topics: semiconductor artificial intelligence semiwiki kurt shuler flexnoc ai package noc interconnect cache coherence

SemiWiki: Segmenting the Machine-Learning Hardware Market

Kurt Shuler, VP Marketing at Arteris IP, shares his 91 entries into finding every company and product that is active in the AI hardware space in this latest SemiWiki blog:

Segmenting the Machine-Learning Hardware Market

March 13th, 2019 - By Bernard Murphy

Machine learning is everywhere, but it can be difficult at times to understand what that really means. Bernard Murphy (SemiWiki) talked to Kurt Shuler and dug through a very detailed spreadsheet Kurt developed to understand better better what is being used where in the ML market.

One of the great pleasures in what I do is to work with people who are working with people in some of the hottest design areas today. A second-level indirect to be sure but that gives me the luxury of taking a broad view. A recent discussion I had with Kurt Shuler (VP Marketing at Arteris IP) is in this class. As a conscientious marketing guy, he wants to understand the available market in AI hardware because they have quite a bit of activity in that space – more on that later. So Kurt put a lot of work into finding every company and product he could that is active in this space, 91 entries in his spreadsheet. This he broke down by company, territory (eg China or US), product, target market (eg vision or speech), implementation (eg FPGA or ASIC), whether the product is used in datacenters or at the edge and whether it is being used for training or inference. 


 For more information, download this FlexNoC AI Package datasheet; http://www.arteris.com/flexnoc-ai-package

Topics: FPGA semiconductor edge computing semiwiki inference kurt shuler flexnoc ai package AI training noc interconnect