What’s Next In Neural Networking?

By Ann Mutschler - 03 May, 2017 - Comments: 0

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

Speeding Up Neural Networks

By Ed Sperling - 27 Apr, 2017 - Comments: 2

Neural networking is gaining traction as the best way of collecting and moving critical data from the physical world and processing it in the digital world. Now the question is how to speed up this whole process. But it isn't a straightforward engineering challenge. Neural networking itself is in a state of almost constant flux and development, which makes it something of a moving target. Th... » read more

Cloud Computing Chips Changing

By Ann Mutschler - 19 Apr, 2017 - Comments: 1

An explosion in cloud services is making chip design for the server market more challenging, more diverse, and much more competitive. Unlike datacenter number crunching of the past, the cloud addresses a broad range of applications and data types. So while a server chip architecture may work well for one application, it may not be the optimal choice for another. And the more those tasks beco... » read more

Supporting CPUs Plus FPGAs

By Brian Bailey - 11 Apr, 2017 - Comments: 5

While it has been possible to pair a CPU and FPGA for quite some time, two things have changed recently. First, the industry has reduced the latency of the connection between them and second, we now appear to have the killer app for this combination. Semiconductor Engineering sat down to discuss these changes and the state of the tool chain to support this combination, with Kent Orthner, system... » read more

Conflicting Goals In Data Centers

By Gale Morrison - 06 Apr, 2017 - Comments: 0

Two conflicting goals are emerging inside of data centers—speed at any cost, and the ability to extend hardware well beyond its expected lifetime to amortize that cost. Layered across both of those are concerns about how to move data back and forth more efficiently, how to secure it, and how to best integrate different generations of technology. But these widely different goals have create... » read more

IoT Security Risks Grow

By Ed Sperling - 30 Mar, 2017 - Comments: 0

Semiconductor Engineering sat down to discuss security issues with Asaf Shen, vice president of marketing for security IP in [getentity id="22186" e_name="ARM's"] Systems & Software Group; Timothy Dry, principal staff marketing manager for the Industrial IoT segment at [getentity id="22819" comment="GlobalFoundries"]; Chowdary Yanamadala, senior vice president of business development at Cha... » read more

When Will It Be Done?

By Ed Sperling - 23 Mar, 2017 - Comments: 0

Design teams have done remarkably well in getting chips out the door on time, despite growing complexity at each new node and an increase in the number of features and IP blocks that need to be integrated into designs. There has been plenty of grumbling, along with dire warnings about the future of Moore's Law and the impact of industry consolidation. The reality, though, is that the volume ... » read more

Challenges Grow For IP Reuse

By Ann Mutschler - 23 Mar, 2017 - Comments: 3

As chip complexity increases, so does the complexity of IP blocks being developed for those designs. That is making it much more difficult to re-use IP from one design to the next, or even to integrate new IP into an SoC. What is changing is the perception that standard [getkc id="43" kc_name="IP"] works the same in every design. Moreover, well-developed [getkc id="100" kc_name="methodologie... » read more

What Does An AI Chip Look Like?

By Ed Sperling - 01 Mar, 2017 - Comments: 5

Depending upon your point of reference, artificial intelligence will be the next big thing or it will play a major role in all of the next big things. This explains the frenzy of activity in this sector over the past 18 months. Big companies are paying billions of dollars to acquire startup companies, and even more for R&D. In addition, governments around the globe are pouring additional... » read more

AI Storm Brewing

By Ed Sperling - 23 Feb, 2017 - Comments: 0

AI is coming. Now what? The answer isn't clear, because after decades of research and development, AI is finally starting to become a force to reckon with. The proof is in the M&A activity underway right now. Big companies are willing to pay huge sums to get out in front of this shift. Here is a list of just some of the AI acquisitions announced or completed over the past few years: ... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

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