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Improving PPA When Embedding FPGAs Into SoCs


Embedded FPGAs have been on everyone’s radar for years as a way of extending the life of chips developed at advanced nodes, but they typically have come with high performance and power overhead. That’s no longer the case, and the ability to control complex chips and keep them current with changes to algorithms and various protocols is significant step. Geoff Tate, CEO of Flex Logix, talks a... » read more

Why Matter 1.0 Really Matters


Incompatibilities of consumer devices inside the home are frustrating for consumers and a security risk. Skip Ashton, distinguished engineer at Infineon, talks about how the Matter 1.0 standard will fuse together different ecosystems from companies such as Apple, Google, and Amazon, how it will be applied to existing devices, what’s included and missing from the standard today, and how it can... » read more

Simplifying AI Edge Deployment


Barrie Mullins, vice president of product at Flex Logix, explains how a programmable accelerator chip can simplify semiconductor design at the edge, where chips need to be high performance as well as low power, yet developing everything from scratch is too expensive and time-consuming. Programmability allows these systems to stay current with changes in algorithms, which can affect everything f... » read more

Using eFPGAs For Security


Andy Jaros, vice president at Flex Logix, talks about the use of eFPGAs to keep pace with security risks over longer chip lifetimes, how configurable RTL can help, and why systems companies are altering the playing field for FPGAs. » read more

Protecting ICs Against Specific Threats


Identifying potential vulnerabilities and attack vectors is a first step in addressing them. Anders Nordstrom, security application engineer at Tortuga Logic, talks with Semiconductor Engineering about the growing risk of remote hardware attacks, what to do when a chip is hacked, and where to find the most common weaknesses for chips. » read more

Transforming AI Models For Accelerator Chips


AI is all about speeding up the movement and processing of data. Ali Cheraghi, solution architect at Flex Logix, talks about why floating point data needs to be converted into integer point data, how that impacts power and performance, and how different approaches in quantization play into this formula. » read more

Zero Dark Silicon


Planning for AI requires an understanding of how much data needs to be processed and how quickly that needs to happen. Nick Ni, senior director of data center AI and compute markets at AMD, talks with Semiconductor Engineering about data bubbles and domain-specific designs, why dark silicon is no longer as useful as in the past, and how to optimize power and performance in both the data center ... » read more

Speeding Up AI Algorithms


AI at the edge is very different than AI in the cloud. Salvador Alvarez, solution architect director at Flex Logix, talks about why a specialized inferencing chip with built-in programmability is more efficient and scalable than a general-purpose processor, why high-performance models are essential for getting accurate real-time results, and how low power and ambient temperatures can affect the... » read more

Better Video Compression


Video data is increasing, but bandwidth is not increasing quickly enough. One solution is to compress that data, but the challenge is to do that without impacting resolution. Rob Green, AMD’s senior manager for Pro AV, Broadcast & Consumer, talks about what’s changing in video compression, from new standards to better analytics, virtualization, what impact AR/VR will have, and a compari... » read more

Common Weakness Enumeration


Understanding potential design vulnerabilities up front can help prevent future cyberattacks. Jason Oberg, CTO at Tortuga Logic, talks with Semiconductor Engineering about why CWE is so important, when it needs to be considered, and why no hardware design is completely bulletproof. » read more

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