Data Storage Issues Grow For Cars

By Ann Mutschler - 02 Feb, 2017 - Comments: 0

Adding safety features into cars and making them increasingly autonomous are rapidly creating a big data problem. More sensors produce more data, which has to be processed, moved, and ultimately stored somewhere in those vehicles. Exactly how that will be achieved isn't quite clear yet. However, there is plenty of discussion on that topic—and for good reason. A new 2017 car will genera... » read more

Executive Insight: K. Charles Janac

By Ed Sperling - 24 May, 2016 - Comments: 0

K. Charles Janac, chairman and CEO of Arteris, sat down with Semiconductor Engineering to talk about what's changing in the automotive market, the impact of big data, and heterogeneous cache coherency. What follows are excerpts of that discussion. SE: What are the big changes you're seeing in semiconductor design? Janac: There are a lot of changes right now. Mobility is slowing down and b... » read more

How Health And Auto Requirements Drive IoT Design

By Frank Schirrmeister - 23 Apr, 2015 - Comments: 0

One of the fun parts of my job is that I am looking at the requirements of our customer’s customers quite a bit to understand where to focus our efforts on the tool side. As a follow on to my last post “System Design Enabling The Human Intranet,” this month I am looking at the requirements imposed on system design by health and automotive applications as they were discussed at DATE in Gre... » read more

Custom Versus Platform Design

By Ed Sperling - 26 Feb, 2015 - Comments: 0

The increase in [getkc id="81" kc_name="SoC"] complexity is being mirrored by a rise in complexity within the markets that drive demand for those chips. The upshot is that a push toward greater connectivity, lower power and better performance—and all for a minimal cost—has turned the pros and cons for custom design vs. platforms and superchips into a murky decision-making process. For t... » read more

The New Face Of MCUs

By Ann Mutschler - 10 Apr, 2014 - Comments: 0

For years, the humble microcontroller was known as the workhorse of white goods and other embedded applications that required some amount of processing, but not as much as a microprocessor would provide. Much has changed since then. Today’s MCUs are the star components in fast-growing and increasingly sophisticated application areas such as automotive, smartphones and the Internet of Thing... » read more

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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

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

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.