Week In Review: IoT, Security, Autos


AI/Edge Vastai Technologies is using Arteris IP’s FlexNoC Interconnect IP and AI Package for its Artificial Intelligence Chips for artificial intelligence and computer vision systems-on-chip (SoCs). Startup Vastai Technologies was founded in December 2018, designs ASICs and software platforms for computer vision and AI applications, such as smart city, smart surveillance, smart education, ac... » read more

AI And Big Data Set To Reinvent Semiconductor Industry


The recent IEEE International Electron Devices Meeting (IEDM) reaffirmed that the semiconductor industry is in a period of reinvention as we grapple with the challenges and opportunities promised by the Internet of Things (IoT), Big Data and AI. That such change is underway was made evident by a panel I was honored to moderate titled, “The Future of Logic: EUV is Here, Now What?” Joining... » read more

5/3nm Wars Begin


Several foundries are ramping up their new 5nm processes in the market, but now customers must decide whether to design their next chips around the current transistor type or move to a different one at 3nm and beyond. The decision involves the move to extend today’s finFETs to 3nm, or to implement a new technology called gate-all-around FETs (GAA FETs) at 3nm or 2nm. An evolutionary step f... » read more

Dealing With ECOs In Complex Designs


Namsuk Oh, R&D principal engineer at Synopsys, talks about the impact of more corners and engineering change orders, how that needs to be addressed in the flow to close timing, and how dependencies can complicate any changes that are required. » read more

Determining What Really Needs To Be Secured In A Chip


Semiconductor Engineering sat down to discuss what's needed to secure hardware and why many previous approaches have been unsuccessful, with Warren Savage, research scientist in the Applied Research Laboratory for Intelligence and Security at the University of Maryland; Neeraj Paliwal, vice president and general manager of Rambus Security; Luis Ancajas, marketing director for IoT security softw... » read more

Plasticine: A Reconfigurable Architecture For Parallel Patterns (Stanford)


Source: Stanford University Stanford University has been developing Plasticine, which allows parallel patterns to be reconfigured. "ABSTRACT Reconfigurable architectures have gained popularity in recent years as they allow the design of energy-efficient accelerators. Fine-grain fabrics (e.g. FPGAs) have traditionally suffered from performance and power inefficiencies due to bit-level ... » read more

Accelerating AI And ML Applications With PCIe 5


The rapid adoption of sophisticated artificial intelligence/machine learning (AI/ML) applications and the shift to cloud-based workloads has significantly increased network traffic in recent years. Historically, the intensive use of virtualization ensured that server compute capacity adequately met the need of heavy workloads. This was achieved by dividing or partitioning a single (physical) se... » read more

Analog: Avoid Or Embrace?


We live in an analog world, but digital processing has proven quicker, cheaper and easier. Moving digital data around is only possible while the physics of wires can be safely abstracted away enough to provide reliable communications. As soon as a signal passes off-chip, the analog domain reasserts control for modern systems. Each of those transitions requires a data converter. The usage ... » read more

Priorities Shift In IC Design


The rush to the edge and new applications around AI are causing a shift in design strategies toward the highest performance per watt, rather than the highest performance or lowest power. This may sound like hair-splitting, but it has set a scramble in motion around how to process more data more quickly without just relying on faster processors and accelerators. Several factors are driving th... » read more

Uses And Limitations Of AI In Chip Design


Raik Brinkmann, president and CEO of OneSpin Solutions, sat down with Semiconductor Engineering to talk about AI changes and challenges, new opportunities for using existing technology to improve AI, and vice versa. What follows are excerpts of that conversation. SE: What's changing in AI? Brinkmann: There are a couple of big changes underway. One involves AI in functional safety, where y... » read more

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