Technical Conferences: The Insurmountable Opportunity

By Mike Gianfagna - 26 Jul, 2018 - Comments: 0

As a technology marketeer, I’m always looking for high-leverage events to promote our brand and gain visibility for new products and services. Let’s face it, this is the main benefit for attending a technical conference or a trade show. While the dream might be 40+ leads that are well-qualified and closable in the quarter, the reality is more of a long-game kind of strategy. For years, t... » read more

5nm Design Progress

By Ann Mutschler - 17 Jul, 2018 - Comments: 1

Activity surrounding the 5nm manufacturing process node is quickly ramping, creating a better picture of the myriad and increasingly complex design issues that must be overcome. Progress at each new node after 28nm has required an increasingly tight partnership between the foundries, which are developing new processes and rule decks, along with EDA and IP vendors, which are adding tools, met... » read more

Security Holes In Machine Learning And AI

By Ed Sperling - 09 Jul, 2018 - Comments: 0

Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » read more

Machine Learning’s Limits

By Ed Sperling - 03 Jul, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. To view part one, click here. SE: How much of what goes wrong in machine learning depends on the algorithm being wrong... » read more

Week In Review: Design, Low Power

By Jesse Allen - 29 Jun, 2018 - Comments: 0

M&A Siemens acquired Austemper Design Systems, which provides tools for functional safety and safety-critical designs. Founded in 2015, Texas-based Austemper adds state-of-the-art safety analysis, auto-correction and fault simulation technology to address random hardware faults, as well as correct and harden vulnerable areas, subsequently performing fault simulation to ensure the design is... » read more

FinFET ASICs: It Takes A Platform

By Mike Gianfagna - 28 Jun, 2018 - Comments: 0

Sophisticated, specialized ASIC technology is making an impact on the everyday world around us. Whether it’s a gadget you can have a conversation with, a car that will take over driving from time to time, or internet speeds that seem impossibly fast, there is likely sophisticated custom silicon present as a critical enabling technology. Plenty has been written about advanced ASICs for network... » read more

Near-Threshold Issues Deepen

By Ann Mutschler - 14 Jun, 2018 - Comments: 0

Complex issues stemming from near-threshold computing, where the operating voltage and threshold voltage are very close together, are becoming more common at each new node. In fact, there are reports that the top five mobile chip companies, all with chips at 10/7nm, have had performance failures traced back to process variation and timing issues. Once a rather esoteric design technique, near... » read more

The Week In Review: Design

By Jesse Allen - 08 Jun, 2018 - Comments: 0

Tools & IP Synopsys added machine learning capabilities to its Design Platform. The company highlighted benefits to the PrimeTime signoff tool, which saw 5X faster power recovery in customer designs at leading-edge geometries. Renesas is using the tool, noting a 4X power ECO speed-up. ArterisIP unveiled a standalone last level cache (LLC) for high-performance SoCs. CodaCache can be adde... » read more

Machine Learning’s Limits (Part 1)

By Ed Sperling - 07 Jun, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. SE: Where are we with machine learning? What problems still have to be resolved? Aitken: We're in a state where thi... » read more

Deep Learning And The Future

By Mike Gianfagna - 26 Apr, 2018 - Comments: 1

Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to come. That’s essentlially what our keynote speaker, Ty Garibay, did at the event. Ty is the CTO... » 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

tag: eSilicon