More Nodes, New Problems

By Ann Mutschler - 26 Apr, 2018 - Comments: 0

The rollout of leading-edge process nodes is accelerating rather than slowing down, defying predictions that device scaling would begin to subside due to rising costs and the increased difficulty of developing chips at those nodes. Costs are indeed rising. So are the number of design rules, which reflect skyrocketing complexity stemming from multiple patterning, more devices on a chip, and m... » read more

Multi-Die Packaging And Thermal Superposition Modeling

By eSilicon - 25 Apr, 2018 - Comments: 0

Packaging density, electrical performance and cost are the primary factors driving electronic package architectures for high-performance server markets. Considerations such as thermal performance and mechanical reliability are equally important but tend to be addressed later in the design cycle. Presented in this paper is a historical view of the packaging trends leading to the current multi-di... » read more

Choosing The Right Interconnect

By Ed Sperling - 09 Apr, 2018 - Comments: 3

Efforts to zero in on cheaper advanced packaging approaches that can speed time to market are being sidetracked by a dizzying number of choices. At the center of this frenzy of activity is the [getkc id="36" kc_name="interconnect"]. Current options range from organic, silicon and glass interposers, to bridges that span different die at multiple levels. There also are various fan-out approach... » read more

How To Choose The Right Memory

By Ann Mutschler - 02 Apr, 2018 - Comments: 0

When it comes to designing memory, there is no such thing as one size fits all. And given the long list of memory types and usage scenarios, system architects must be absolutely clear on the system requirements for their application. A first decision is whether or not to put the memory on the logic die as part of the SoC, or keep it as off-chip memory. "The tradeoff between latency and th... » read more

When AI Goes Awry

By Ed Sperling - 26 Mar, 2018 - Comments: 0

The race is on to develop intelligent systems that can drive cars, diagnose and treat complex medical conditions, and even train other machines. The problem is that no one is quite sure how to diagnose latent or less-obvious flaws in these systems—or better yet, to prevent them from occurring in the first place. While machines can do some things very well, it's still up to humans to devise... » read more

Deep Learning Market Forces

By Mike Gianfagna - 22 Mar, 2018 - Comments: 0

Last week, eSilicon participated in a deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, we explored how our respective companies form an ecosystem to develop deep learning chips for the next generation of applications. We also had a keynote presentation on deep learning from Ty Garibay, C... » read more

Applying Machine Learning To Chips

By Ann Mutschler - 22 Mar, 2018 - Comments: 0

The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

Merging Verification With Validation

By Brian Bailey - 22 Mar, 2018 - Comments: 3

Verification and validation are two important steps in the creations of electronic systems and over time their roles, but how they play together is changing. In fact, today we are seeing a major opportunity for rethinking this aspect of the flow, which could mean the end of them as separate tasks for many of the chips being created. As with many things in this industry, however, squeezing it... » read more

The New Deep Learning Memory Architectures You Should Know About

By eSilicon - 21 Mar, 2018 - Comments: 0

Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, ... » read more

AI: The Next Big Thing

By Ed Sperling - 15 Mar, 2018 - Comments: 2

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

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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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