Enterprise-Class DRAM Reliability


Brett Murdock, product manager for memory interfaces at Synopsys, examines demand for DDR5 and DDR4 in both on-premise and cloud implementations, what features are available for which versions, how they affect performance and power, how ECC is implemented, and how the data moves throughout these systems. » read more

Understanding SLAM (Simultaneous Localization And Mapping)


Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key corners in a frame, how probabilities of accuracy fit into the picture, how noise can affect that, and how to improve the performance and reduce power in these systems. » read more

Tradeoffs In Embedded Vision SoCs


Gordon Cooper, product marketing manager for embedded vision processors at Synopsys, talks with Semiconductor Engineering about the need for more performance in these devices, how that impacts power, and what can be done to optimize both prior to manufacturing. » read more

Non-Volatile Memory Tradeoffs Intensify


Non-volatile memory is becoming more complicated at advanced nodes, where price, speed, power and utilization are feeding into some very application-specific tradeoffs about where to place that memory. NVM can be embedded into a chip, or it can be moved off chip with various types of interconnect technology. But that decision is more complicated than it might first appear. It depends on the ... » read more

AI’s Impact On Power And Performance


AI/ML is creeping into everything these days. There are AI chips, and there are chips that include elements of AI, particularly for inferencing. The big question is how well they will affect performance and power, and the answer isn't obvious. There are two main phases of AI, the training and the inferencing. Almost all training is done in the cloud using extremely large data sets. In fact, ... » read more

Making Sense Of ML Metrics


Steve Roddy, vice president of products for Arm’s Machine Learning Group, talks with Semiconductor Engineering about what different metrics actually mean, and why they can vary by individual applications and use cases. » read more

Less Food, More Thought


A trillion "things" are expected to be connected to the Internet sometime in the next decade. No matter how power-efficient these things are, they probably will require enough coin-sized lithium batteries to drain the world's supply of element No. 3 on the Periodic Table. They also will increase the demand for power everywhere, and that's even before tacking on electric vehicles, the edge, robo... » read more

Why DRAM Won’t Go Away


Semiconductor Engineering sat down to talk about DRAM's future with Frank Ferro, senior director of product management at Rambus; Marc Greenberg, group director for product marketing at Cadence; Graham Allan, senior product marketing manager for DDR PHYs at Synopsys; and Tien Shiah, senior manager for memory marketing at Samsung Electronics. What follows are excerpts of that conversation. Part ... » read more

Speed Returns As The Key Metric


For the foreseeable future, it's all about performance. For the past decade or so, power and battery life have been the defining characteristics of chip design. Performance was second to those. This was particularly important in smart phones and wearable devices, where time between charges was a key selling point. In fact, power-hungry processors killed the first round of smart watches. But ... » read more

Smart NiCs


Manish Sinha, strategic planning for marketing and business at Achronix, talks with Semiconductor Engineering about what’s changing in networking interface cards, how to get more performance out of these devices, and how much needs to be in hardware versus software. » read more

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