tag: eSilicon

Frenzy At 10/7nm
By Ann Mutschler - 14 Sep, 2017 - Comments: 1

The number of chipmakers rushing to 10/7nm is rising, despite a slowdown in Moore's Law scaling and the increased difficulty and cost of developing chips at the most advanced nodes. How long this trend continues remains to be seen. It's likely that 7/5nm will require new manufacturing equipment, tools, materials and transistor structures. Beyond that, there is no industry-accepted roadmap, m... » read more

The Limits Of IP Reuse
By Ed Sperling - 07 Sep, 2017 - Comments: 0

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

Training As A Strategic Weapon
By Mike Gianfagna - 24 Aug, 2017 - Comments: 0

In my last post, I discussed the topic of applying machine learning to the design of machine learning chips. I pointed out that one can achieve significant improvements in schedule predictability, PPA compliance and an overall reduction in program risk if machine learning is applied to the right kind of knowledge base. This is very real, and we are seeing the benefits of this approach daily. Bu... » read more

IP Challenges Ahead
By Brian Bailey - 10 Aug, 2017 - Comments: 0

The revenue from semiconductor [getkc id="43" kc_name="IP"] has risen steadily to become the largest segment of the EDA industry. Industry forecasts expect it to keep growing at a CAGR of more than 10% for the next decade. Part one of this article examined the possibility those forecasts are wrong and that large semiconductor companies are likely to start bringing IP development back in hous... » read more

The Rising Value Of Data
By Ed Sperling - 09 Aug, 2017 - Comments: 0

The volume of data being generated by a spectrum of devices continues to skyrocket. Now the question is what can be done with that data. By Cisco's estimates, traffic on the Internet will be 3.3 zetabytes per year by 2021, up from 1.2 zetabytes in 2016. And if that isn't enough, the flow of data isn't consistent. Traffic on the busiest 60-minute period in a day increased 51% in 2016, compare... » read more

The Secret Life Of Accelerators
By Ed Sperling - 27 Jul, 2017 - Comments: 0

Accelerator chips increasingly are providing the performance boost that device scaling once provided, changing basic assumptions about how data moves within an electronic system and where it should be processed. To the outside world, little appears to have changed. But beneath the glossy exterior, and almost always hidden from view, accelerator chips are becoming an integral part of most des... » read more

When The Chips Are Down, Software-Defined Data Centers Can Ease R&D Creases
By eSilicon - 26 Jul, 2017 - Comments: 0

The design team of a fabless semiconductor company seemed to go into a tizzy every 6 months. They had to deliver the latest chips to their end customer amid extremely aggressive deadlines. They realized that if they needed the might of the millennials to bump up their bottom line, they would have to give their models and designs a makeover (read upgrade) every few months. To read more, click... » read more

Is The IP Industry Healthy?
By Brian Bailey - 13 Jul, 2017 - Comments: 0

The semiconductor industry has been through many changes, each designed to reduce the total cost associated with the design and manufacture of chips. Twenty years ago, most companies had their own fabs and designed all of the circuitry on each chip. Today, only a handful of companies still own a fab and outsourcing design, in the form of intellectual property ([getkc id="43" kc_name="IP"]), has... » read more

The Darker Side Of Machine Learning
By Ann Mutschler - 05 Jul, 2017 - Comments: 0

Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

A Learning Machine For Machine Learning
By Mike Gianfagna - 29 Jun, 2017 - Comments: 0

Artificial intelligence and machine learning are hot. Many, many startups, exciting new applications and lots of venture money. The technology promises to change the world. Whether it’s autonomous vehicles, domestic robots or machines that replace doctors and lawyers, the implications are astounding, and somewhat frightening. Let’s put the socio-economic dimension of this discussion aside f... » read more

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