Looking Beyond The CPU


CPUs no longer deliver the same kind of of performance improvements as in the past, raising questions across the industry about what comes next. The growth in processing power delivered by a single CPU core began stalling out at the beginning of the decade, when power-related issues such as heat and noise forced processor companies to add more cores rather than pushing up the clock frequency... » read more

AI Begins To Reshape Chip Design


Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more

Where ML Works Best


Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to discuss machine learning inside and outside of EDA tools and how that will affect the future of chip and system design. What follows are excerpts of that discussion. SE: How do you see the market and use of machine learning shaping up? Devgan: There are three main areas—machine learning inside, machine lear... » read more

Tiling Is Critical For eFPGA Users: ArrayLinx Delivers


FPGA chips come in multiple sizes — modular blocks of programmable logic, DSP MACs and RAM are intermixed in different sizes and ratios then stitched together with top-level interconnect, clocking, etc and surrounded by a ring of I/Os like GPIO, SerDes, USB, etc. There is extensive engineering and top-level physical design for each distinct FPGA array and chip. eFPGA is different: Custome... » read more

AI: The Next Big Thing


The next big thing isn't actually a thing. It's a set of finely tuned statistical models. But developing, optimizing and utilizing those models, which collectively fit under the umbrella of artificial intelligence, will require some of the most advanced semiconductors ever developed. The demand for artificial intelligence is almost ubiquitous. As with all "next big things," it is a horizonta... » read more

Preparing For Bigger Changes Ahead


The semiconductor industry has undergone a fundamental shift over the past year, and it's one that will redefine chipmaking over the next decade or more. While the focus is still on building the fastest, lowest-power devices, whether that's by shrinking features or packaging them into blazing-fast 2.5D or fan-out configurations, these devices are being customized for specific use cases much ... » read more

Verifying AI, Machine Learning


[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

The Limits Of IP Reuse


The basic business proposition for third-party IP is that it's cheaper, faster, and less problematic to buy rather than build. But things haven't exactly worked out according to plan, either for companies that license IP or those that develop it. For [getkc id="43" kc_name="IP"] licensees, just keeping track of an endless series of updates is becoming unwieldy. Complex designs often include ... » read more

What’s Next In Neural Networking?


Faster chips, more affordable storage, and open libraries are giving neural network new momentum, and companies are now in the process of figuring out how to optimize it across a variety of markets. The roots of neural networking stretch back to the late 1940s with Claude Shannon’s Information Theory, but until several years ago this technology made relatively slow progress. The rush towar... » read more

The Great Machine Learning Race


Processor makers, tools vendors, and packaging houses are racing to position themselves for a role in machine learning, despite the fact that no one is quite sure which architecture is best for this technology or what ultimately will be successful. Rather than dampen investments, the uncertainty is fueling a frenzy. Money is pouring in from all sides. According to a new Moor Insights report,... » read more

← Older posts