Getting Serious About Chiplets


Demand for increasingly complex computation, more features, lower power, and shorter lifecycles are prompting chipmakers to examine how standardized hard IP can be used to quickly assemble systems for specific applications. The idea of using chiplets, with or without a package, has been circulating for at least a half-dozen years, and they can trace their origin back to IBM's packaging schem... » read more

The Week in Review: IoT


Products/Services No matter the size of your button! You can now order up a flight on a private jet with the push of, yes, a button! GrandView Jets, an affiliate of GrandView Aviation, is bringing out a Web-enabled “Press for Jet” button, an Amazon Web Services Internet of Things button enabled by ButtonJoy Software. GrandView Jets says it has a fleet of Embraer Phenom 300 private jets to ... » read more

Blockchain: Hype, Reality, Opportunities


Blockchain buzz has reached deafening levels, and its proponents say we haven’t heard anything yet. The blockchain-enabled transformations they describe make the Internet revolution look almost trivial. Critics argue that too many people drank the blockchain Kool-Aid. Outside the cryptocurrency arena, they say that blockchain amounts to little more than some really slick slideware. The ... » read more

Blog Review: Jan. 3


Ansys' Steve Pytel argues that increased signaling speeds and frequencies have led to signal integrity issues that circuit simulation alone cannot handle. Cadence's Paul McLellan dives into the details of Intel's 10nm process, including three layers of self-aligned quadruple patterning, contact-over-active-gate, and cobalt for contact fill. Mentor's Ron Press and Vidya Neerkundar argue th... » read more

The Week in Review: IoT


Equities Zacks Equity Research has a “strong buy” recommendation for shares of Marvell Technology Group, noting the chip company’s improving financial results this year and its competitive position in supplying controllers for solid-state drives. “Furthermore, we believe the elevated demand for Marvell’s 4G LTE products could be a key growth driver. This will be supported by growth f... » read more

Foundry Challenges in 2018


The silicon foundry business is expected to see steady growth in 2018, but that growth will come with several challenges. On the leading edge, GlobalFoundries, Intel, Samsung and TSMC are migrating from the 16nm/14nm to the 10nm/7nm logic nodes. Intel already has encountered some difficulties, as the chip giant recently pushed out the volume ramp of its new 10nm process from the second half ... » read more

What’s Next With Computing?


At the recent IEDM conference, Jeff Welser, vice president and lab director at IBM Research Almaden, sat down to discuss artificial intelligence, machine learning, quantum computing and supercomputing with Semiconductor Engineering. Here are excerpts of that conversation. SE: Where is high-end computing going? Welser: We are seeing lots of different systems start to come up. First of all,... » read more

Chipmakers Look To New Materials


Graphene, the wonder material rediscovered in 2004, and a host of other two-dimensional materials are gaining ground in manufacturing semiconductors as silicon’s usefulness begins to fade. And while there are a number of compounds in use already, such as gallium arsenide, gallium nitride, and silicon carbide, those materials generally are being confined to specific niche applications. Tran... » read more

Pushing DRAM’s Limits


If humans ever do create a genuinely self-aware artificial intelligence, it may well exhibit the frustration of waiting for data arrive. The access bandwidth of DRAM-based computer memory has improved by a factor of 20x over the past two decades. Capacity increased 128x during the same period. But latency improved only 1.3x, according to Kevin Chang, a researcher at Carnegie Mellon Universit... » read more

3D Neuromorphic Architectures


Matrix multiplication is a critical operation in conventional neural networks. Each node of the network receives an input signal, multiplies it by some predetermined weight, and passes the result to the next layer of nodes. While the nature of the signal, the method used to determine the weights, and the desired result will all depend on the specific application, the computational task is simpl... » read more

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