Using Machine Learning In EDA

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

Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

Data, Privacy And The IoT

By Brian Bailey - 31 Jul, 2017 - Comments: 0

The keynotes at this year's Design Automation Conference concentrated on the [getkc id="76" comment="Internet of Things"] (IoT). All of the speakers came from a hardware background, and thus all saw the benefits of being close to the system that is generating the data, providing the analytics, and producing some kind of action that provides the economic benefit. The alternative view comes f... » read more

EDA, IP Growth Hits Double Digits

By Ed Sperling - 06 Jul, 2017 - Comments: 0

The cloud, advanced packaging and AI/machine learning pushed up EDA and IP revenue to the highest Q1 growth level since 2011. Revenue was up 10.5% year over year to $2.168 billion, compared with $1.962 billion in Q1 2016, according to just-released numbers from the Electronic System Design (ESD) Alliance. The four-quarter moving average increased by 10.6%. The two largest regions, the Americ... » read more

Manufacturing Bits: May 16

By Mark LaPedus - 16 May, 2017 - Comments: 0

Musical learning chips Imec has demonstrated a neuromorphic chip. The brain-inspired chip, based on OxRAM technology, has the capability of self-learning and has been demonstrated to have the ability to compose music. Imec has combined state-of-the-art hardware and software to design chips that feature these characteristics of a self-learning system. Imec’s goal is to design the process t... » read more

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

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

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

Software Modeling Goes Mainstream

By Ed Sperling - 01 Feb, 2017 - Comments: 0

Software modeling is finally beginning to catch on across a wide swath of chipmakers as they look beyond device scaling to improve performance, lower power, and ratchet up security. Software modeling in the semiconductor industry historically has been associated with hardware-software co-design, which has grown in fits and starts since the late 1990s. The largest chipmakers and systems compa... » read more

Bidding War On H-1B Visas?

By Ed Sperling - 26 Jan, 2017 - Comments: 3

Good help is hard to find. It's about to get harder—and more expensive. The U.S. tech industry's solution until now has been to leverage expertise from around the world, drawing top graduates and entry-level professionals under the H-1B visa program. Last year, there were 85,000 H-1B visas issued, of which 20,000 are required to hold a U.S. master's degree or higher. There are some exce... » read more

The Power And Limits Of Money

By Gale Morrison - 11 Jan, 2017 - Comments: 0

[getperson id="11694" p_name="Wally Rhines"], CEO of [getentity id="22017" e_name="Mentor Graphics"], sat down with Semiconductor Engineering to discuss how semiconductor engineering teams make their dollars work even when budgets are limited. The issue is as important as ever, given the industry's unrelenting margin and cost pressure and the growing competition for top talent. What follows are... » read more

← Older posts Newer posts →

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

tag: Facebook