The Race To Design Larger Systems


For more than a decade, tools vendors and design houses have been talking about leveraging their tools and expertise to help design systems of systems. They're finally getting their chance. The basic idea behind this strategy has always been that issues inside any electronic system—performance, power, signal integrity, area—have all been dealt all the way down to the sub-atomic level in ... » 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

Implementing Mathematical Algorithms In Hardware For Artificial Intelligence


Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many operations that the processing unit would have to execute. As the mathematical algorithms used in AI-based systems evolve, and in some cases stabilize, the demand to implement them in hardware increase... » read more

Building AI SoCs


Ron Lowman, strategic marketing manager at Synopsys, looks at where AI is being used and how to develop chips when the algorithms are in a state of almost constant change. That includes what moves to the edge versus the data center, how algorithms are being compressed, and what techniques are being used to speed up these chips and reduce power. https://youtu.be/d32jtdFwpcE    ... » read more

From Physics To Applications


Jack Harding, president and CEO of eSilicon, sat down with Semiconductor Engineering to talk about the shift toward AI and advanced packaging, and the growing opportunities at 7nm at a time when Moore's Law has begun slowing down. What follows are excerpts of that conversation. SE: Over the past year, the industry has changed its focus from shrinking features and consolidation to all sorts o... » read more

Carmakers To Chipmakers: Where’s The Data?


The integration of electronics into increasingly autonomous vehicles isn't going nearly as smoothly as the marketing literature suggests. In fact, it could take years before some of these discrepancies are resolved. The push toward full autonomy certainly hasn't slowed down, but carmakers and the electronics industry are approaching that goal from very different vantage points. Carmakers and... » read more

Week in Review: IoT, Security, Auto


Internet of Things At Arm TechCon, Arm unveiled its Neoverse brand identity, providing an infrastructure foundation for 5G, the Internet of Things, edge computing, and other applications. The Arm Neoverse IP will proliferate next year from Arm and its technology partners. With Arm’s “Ares” platform, to be introduced in 2019, the company promises to deliver 30% per-generation performance ... » read more

Week In Review: Design, Low Power


Arm announced its new roadmap promising 30% annual system performance gains on leading edge nodes through 2021. These gains are to come from a combination of microarchitecture design to hardware, software and tools. They are branding this new roadmap 'Neoverse.' The first delivery will be Ares – expected in early 2019 – for a 7nm IP platform targeting 5G networks and next-generation cloud t... » read more

Wanted: Mask Equipment for Mature Nodes


Rising demand for chips at mature nodes is impacting the photomask supply chain, causing huge demand for trailing-edge masks and a shortfall of older mask equipment. The big issue is the equipment shortfall, which could impact customers on several fronts. Tool shortages could lead to longer mask turnaround times and delivery schedules for chips being developed at 90nm and above, which are bu... » read more

Looking For The Next Big Innovation


Never has there been more demand for “The Big Innovation” — one that moves the needle for performance, power and area-cost (PPAC) in a big way — as there is in the current era of AI and machine learning (ML). As summarized in Why AI Workloads Require New Computing Architectures, AI workloads require new architectures to process data. These workloads also call for heterogeneous comp... » read more

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