New Ways To Optimize Machine Learning

By Bryon Moyer - 02 Apr, 2020 - Comments: 1

As more designers employ machine learning (ML) in their systems, they’re moving from simply getting the application to work to optimizing the power and performance of their implementations. Some techniques are available today. Others will take time to percolate through the design flow and tools before they become readily available to mainstream designers. Any new technology follows a basic... » read more

Improving Verification Predictability And Efficiency Using Big Data

By Mentor, a Siemens Business - 21 Aug, 2019 - Comments: 0

By providing a Big Data infrastructure, with state of the art technologies, within the verification environment, the combination of all verification metrics allows all resources to be used as efficiently as possible and enables process improvements using predictive analysis. This paper covers the technology, the metrics, and the process, and it will explore a number of techniques enabled by suc... » read more

How Far Can AI Go?

By Ed Sperling - 30 May, 2019 - Comments: 1

AI is everywhere. There are AI/ML chips, and AI is being used to design and manufacture chips. On the AI/ML chip side, large systems companies and startups are striving for orders of magnitude improvements in performance. To achieve that, design teams are adding in everything from CPUs, GPUs, TPUs, DSPs, as well as small FPGAs and eFPGAs. They also are using small memories that can be read i... » read more

Smart Manufacturing

By Ed Sperling - 12 Dec, 2018 - Comments: 0

Tom Salmon, vice president of collaborative technology platforms at SEMI, talks about smart manufacturing, and the role of AI, smart gateways, and digital twins. https://youtu.be/e9DQ_Xfc2K0 See other tech talk videos here. » read more

Farming Goes High-Tech

By Ann Mutschler - 13 Jun, 2018 - Comments: 0

Data from dirt — literally — is enabling farmers to perform detailed analysis to make their farming practices smarter, more efficient, and significantly more productive. Companies in every market are leveraging data to their business advantage, and the agricultural sector is no different. Even the venture capital community has taken note. According to ABI Research, some sizeable venture ... » read more

IIoT Analytics

By Optimal Plus - 08 May, 2017 - Comments: 0

Founded in 1995, Marvell Technology Group Ltd. has operations worldwide and more than 7,000 employees. A leading fabless semiconductor company, Marvell ships over one billion chips a year. Marvell’s expertise in microprocessor architecture and digital signal processing, drives multiple platforms including high volume storage solutions, mobile and wireless, networking, consumer and green pr... » read more

Is Product Quality Getting Lost In The IIoT?

By David Park - 10 Apr, 2017 - Comments: 0

Manufacturing operations have continuously evolved using data capture and management to assess and test production effectiveness on the manufacturing floor. The advent of the Industrial Internet of Things (IIoT) and its anticipated ability to track and manage the factory environment with machine-to-machine process analytics heralds yet another transformation, promising a higher level of data in... » read more

Grappling With Manufacturing Data

By Ed Sperling - 22 Sep, 2016 - Comments: 2

As complexity goes up with each new process node, so does the amount of data that is generated, from initial GDSII to photomasks, manufacturing, yield and post-silicon validation. But what happens to that data, and what gets shared, remain a point of contention among companies across the semiconductor ecosystem. The problem is that to speed up the entire design through manufacturing process,... » 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

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

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

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: predictive analytics