Moore’s Law Debate Continues


Does shrinking devices still make sense from a cost and performance perspective? The answer isn’t so simple anymore. Still, the discussion as to whether semiconductors are still on track with [getkc id="74" comment="Moore's Law"] occurs on a frequent enough basis to continue analyzing at least some of the dynamics at play. There is much speculation about what happens after 7nm, as well as ... » read more

Silicon Photonics Comes Into Focus


Silicon photonics is attracting growing attention and investment as a companion technology to copper wiring inside of data centers, raising new questions about what comes next and when. Light has always been the ultimate standard for speed. It requires less energy to move large quantities of data, generates less heat than electricity, and it can work equally well over long or short distances... » read more

IoT – And A Tear In The Fabric Of The Connected World


Billions of connected things. Massive silicon consumption. Exponentially rising data volumes. Global compute farm build-out to make sense out of all of it. Lots of dollar signs. Everyone is talking about IoT with an optimistic view toward the future. There is a dark side to all this. Many, including yours truly have written about it. If you’re familiar with the Terminator series, you can call... » read more

Find The Best IP For You


It can be quite challenging and time consuming to find the right semiconductor IP for your project. You’ve got to find IP that does not consume too much power, meets your performance target, has the lowest leakage when your product goes on standby, and last but not least, IP that occupies the least amount of expensive real estate on your chip. How can you accomplish such a task without having... » read more

2.5D Surprises And Alternatives


Semiconductor Engineering sat to discuss advanced packaging issues with Juan Rey, senior director of engineering for Calibre at [getentity id="22017" e_name="Mentor Graphics"]; Max Min, senior technical manager at [getentity id="22865" e_name="Samsung"]; and Lisa Minwell, [getentity id="22242" e_name="eSilicon's"] senior director of IP marketing. What follows are excerpts of that conversation. ... » read more

What Can Go Wrong In Automotive


Semiconductor Engineering sat down to discuss automotive engineering with Jinesh Jain, supervisor for advanced architectures in Ford’s Research and Innovation Center in Palo Alto; Raed Shatara, market development for automotive infotainment at [getentity id="22331" comment="STMicroelectronics"]; Joe Hupcey, verification product technologist at [getentity id="22017" e_name="Mentor Graphics"]; ... » read more

Building Chips That Can Learn


The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

Designers: Take Control Of Your Chip


This is a familiar story for us – maybe it is for you, too. From time to time, a customer contacts us and says they have a design in mind, but they just can’t fit in the package, or meet the power budget, or meet timing. Fifty percent or more of the area for many of the chips we see is composed of memory. So we start there. After a Pareto analysis of the memory sub-system, we typically find... » read more

The Week In Review: Design


Tools Real Intent updated its Ascent Lint product, adding 50 new customer-driven rules, improved support of VHDL and System Verilog, and a new database-driven debugger with an integrated source browser and improved schematic visualization. IP ARM launched a new real-time processor with advanced safety features for autonomous vehicles and medical and industrial robots. The processor, Co... » read more

Plugging Holes In Machine Learning


The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

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