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

Will In-Memory Processing Work?


The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits the effectiveness of cache. The result is the first serious assault on the von Neumann architecture, which for a computer was simple, scalable and modular. It separated the notion of a computatio... » read more

Big Shifts In Big Data


The big data market is in a state of upheaval as companies begin shifting their data strategies from "nothing" or "everything" in the cloud to a strategic mix, squeezing out middle-market players and changing what gets shared, how that data is used, and how best to secure it. This has broad implications for the whole semiconductor supply chain, because in many cases it paves the way for ... » read more

Edge Complexity To Grow For 5G


Edge computing is becoming as critical to the success of 5G as millimeter-wave technology will be to the success of the edge. In fact, it increasingly looks as if neither will succeed without the other. 5G networks won’t be able to meet 3GPP’s 4-millisecond-latency rule without some layer to deliver the data, run the applications and broker the complexities of multi-tier Internet apps ac... » 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

Test Chips Play Larger Role At Advanced Nodes


Test chips are becoming more widespread and more complex at advanced process nodes as design teams utilize early silicon to diagnose problems prior to production. But this approach also is spurring questions about whether this approach is viable at 7nm and 5nm, due to the rising cost of prototyping advanced technology, such as mask tooling and wafer costs. Semiconductor designers have long b... » 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

Power, Reliability And Security In Packaging


Semiconductor Engineering sat down to discuss advanced packaging with Ajay Lalwani, vice president of global manufacturing operations at eSilicon; Vic Kulkarni, vice president and chief strategist in the office of the CTO at ANSYS; Calvin Cheung, vice president of engineering at ASE; Walter Ng, vice president of business management at UMC; and Tien Shiah, senior manager for memory at Samsun... » read more

Waiting For Chiplet Interfaces


There aren't many success stories related to chiplets today for a very simple reason—there are few standard interfaces defined for how to connect them. In fact, the only way to use them is to control both sides of the interface with a proprietary interface and protocol. The one exception is the definition of HBM2, which enables large quantities of third-party DRAM to be connected to a logi... » read more

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