Power Is Limiting Machine Learning Deployments


The total amount of power consumed for machine learning tasks is staggering. Until a few years ago we did not have computers powerful enough to run many of the algorithms, but the repurposing of the GPU gave the industry the horsepower that it needed. The problem is that the GPU is not well suited to the task, and most of the power consumed is waste. While machine learning has provided many ... » read more

Protecting Computing Systems in a Post-Meltdown/ Spectre World


When Jann Horn of Google’s Project Zero posted a detailed blog titled “Reading privileged memory with a side-channel,” it set off a firestorm of activity as the post confirmed that secret information inside a computer could be accessed via two different attacks, Meltdown and Spectre. Essentially, both attacks utilize CPU data cache timing to efficiently exploit and leak informatio... » read more

Week in Review – IoT, Security, Auto


Products/Services Synopsys announced successful deployment of the Synopsys Yield Explorer yield learning platform for fast ramp-up of new products on Samsung's advanced finFET technology nodes. Using the secure data exchange mechanism in Yield Explorer, Samsung is able to share the data required for yield analysis, such as chip design, fab, and test, with its customers while maintaining the co... » read more

Machine Learning Inferencing Moves To Mobile Devices


It may sound retro for a developer with access to hyperscale data centers to discuss apps that can be measured in kilobytes, but the emphasis increasingly is on small, highly capable devices. In fact, Google staff research engineer Pete Warden points to a new app that uses less than 100 kilobytes for RAM and storage, creates an inference model smaller than 20KB, and which is capable of proce... » read more

Google Cloud—A View From The Top


I recently had the opportunity to attend a retreat-style event in Napa Valley hosted by the Google Cloud team. Like many such events I’ve attended over the years, the guests were treated to excellent accommodations, fabulous food, a good amount of free time for networking or to partake in activities, relevant and on-point presentations and world-class wine (this is Napa Valley after all). All... » read more

CEO Outlook: Rising Costs, Chiplets, And A Trade War


Semiconductor Engineering sat down to discuss what's changing across the semiconductor industry with Wally Rhines, CEO emeritus at Mentor, a Siemens Business; Jack Harding, president and CEO of eSilicon; John Kibarian, president and CEO of PDF Solutions; and John Chong, vice president of product and business development for Kionix. What follows are excerpts of that discussion, which was held in... » read more

Week in Review: IoT, Security, Auto


Products/Services Mentor, a Siemens Business, announced the release of the final phase of the Valor software New Product Introduction design-for-manufacturing technology, automating printed circuit board design reviews. The company has integrated DFM technology into the Xpedition software layout application. Arteris IP reports that Toshiba has taped out its next-generation advanced driv... » read more

Test Moving Forward And Backward


Test, once considered an important but rather mundane way of separating good chips from the not-so-good and the total rejects, is taking on a whole new life. After decades of largely living in the shadows behind design and advancements in materials and lithography, test has quietly shifted into a much more critical and more public role. But it has taken several rather significant shifts acro... » read more

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

Week in Review: IoT, Security, Auto


Products/Services Achronix Semiconductor selected the Rambus GDDR6 PHY for its next-generation Speedster7t line of field-programmable gate arrays. The Rambus GDDR6 PHY is used in advanced driver-assistance systems, artificial intelligence, graphics, machine learning, and networking applications. Arm and Marvell Technology Group will work together on design and development of Marvell’s nex... » read more

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