tag: DL

How Much Power Will AI Chips Use?
By Ed Sperling - 12 Mar, 2020 - Comments: 1

AI and machine learning have voracious appetites when it comes to power. On the training side, they will fully utilize every available processing element in a highly parallelized array of processors and accelerators. And on the inferencing side they, will continue to optimize algorithms to maximize performance for whatever task a system is designed to do. But as with cars, mileage varies gre... » read more

Chip Design Is Getting Squishy
By Ed Sperling - 27 Feb, 2020 - Comments: 0

So many variables, uncertainties and new approaches are in play today across the chip industry today that previous rules are looking rather dated. In the past, a handful of large companies or organizations set the rules for the industry and established an industry roadmap. No such roadmap exists today. And while there are efforts underway to create new roadmaps for different industries, inte... » read more

Why Standard Memory Choices Are So Confusing
By Ann Mutschler - 19 Nov, 2019 - Comments: 0

System architects increasingly are developing custom memory architectures based upon specific use cases, adding to the complexity of the design process even though the basic memory building blocks have been around for more than half a century. The number of tradeoffs has skyrocketed along with the volume of data. Memory bandwidth is now a gating factor for applications, and traditional memor... » read more

Why Data Is So Difficult To Protect In AI Chips
By Ed Sperling - 25 Sep, 2019 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to discuss a wide range of hardware security issues and possible solutions with Norman Chang, chief technologist for the Semiconductor Business Unit at ANSYS; Helena Handschuh, fellow at Rambus, and Mike Borza, principal security technologist at Synopsys. What follows are excerpts of that conversation. The first part of this discussion ca... » read more

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