industry news
Subscribe Now

GLOBALFOUNDRIES and Mentor Collaborate to Launch New Semiconductor Verification Solution Embedded with Advanced Machine Learning Capabilities

New industry-leading ML-enhanced DFM solution for designing on GF 12LP+ platform can provide customers with a more efficient experience and contribute to a faster time to market

Santa Clara, Calif., September 24, 2020 – GLOBALFOUNDRIES® (GF®), the world’s leading specialty foundry, today announced at its annual Global Technology Conference (GTC) a significantly enhanced design for manufacturability (DFM) kit embedded with advanced machine learning (ML) capabilities. Developed in collaboration with Mentor, a Siemens business, the new industry-leading ML-enhanced DFM solution, built on Mentor’s Calibre® nmDRC platform, can provide customers with a more effective design and development experience and, ultimately, contribute to a faster time to market.

The new ML-enhanced DFM kit is launching as an update to the process design kit (PDK) for GF’s 12LP+ differentiated semiconductor solution. Built on a proven platform with a robust production ecosystem, 12LP+ is optimized for artificial intelligence (AI) training and inference applications, and is currently ready for production at GF’s Fab 8 in Malta, New York.

GF’s new ML-enhanced DFM solution is among the first of its kind in the industry. GF plans to roll out the capability to the PDKs of its 12LP and 22FDX® semiconductor platforms in Q4 2020.

“We are excited to launch this new enhancement, infused with advanced machine learning models, and provide our customers with a quicker overall DFM verification and an even more effective design experience – all toward the goal of successful prototyping and a faster time to market,” said Jim Blatchford, vice president of Technology Enablement at GF. “Our close partnership with Mentor helped enable the new enhancement to be seamlessly integrated into our 12LP+ PDK, and we look forward to rolling out additional machine learning-infused capabilities in the PDKs for our other specialty semiconductor solutions.”

“We are pleased to partner with GLOBALFOUNDRIES to incorporate machine learning based models into Calibre nmDRC for GF’s 12LP+ platform,” said Michael White, director of Physical Verification Product Management, Calibre Design Solutions, at Mentor. “Working together with GLOBALFOUNDRIES, we have incorporated machine learning into the design flow to help create a seamless transition for our mutual customers.”

Following its founding in 2009, GF has pioneered a DFM checking platform, called DRC+, which combines pattern-matching tools from electronic design automation (EDA) software suited with a proprietary library of yield detractor patterns. DRC+ enables chip designers to preventively detect defective patterns, or hotspots, in early designs that could lead to manufacturing defects.

GF and Mentor have partnered to integrate GF-developed ML models into DRC+, to help amplify the ability of DRC+ to recognize new and previously unseen hotspot patterns and improve production yield. Trained by GF on silicon data collected during its manufacturing operations, the new ML-enhanced DFM kit has been validated and qualified to enable chip designers to more successfully discover and mitigate potential problems early in the design process.

Catching and addressing these hotspots in the development phase is critical for designers as they progress toward successful prototyping and scale manufacturing.

GF 12LP+ Ready for Production

Engineered to meet the specific needs of the fast-growing AI market, GF’s 12LP+ offers best-in-class combination of performance, power, and area. Contributing to this are new features including an updated standard cell library, an interposer for 2.5D packaging, and a low-power 0.5V Vmin SRAM bitcell that supports the low latency and power-efficient shuttling of data between the AI processors and memory.

12LP+ builds upon GF’s established 14nm/12LP platform, of which GF has shipped more than one million wafers. By partnering closely and learning from AI customers, GF developed 12LP+ to provide greater differentiation and increased value for designers in the AI space while minimizing their development and production costs.

Driving the enhanced performance of 12LP+ are features including a 20-percent SoC-level logic performance boost over 12LP, and a 10-percent improvement in logic area scaling. These advancements are achieved in 12LP+ through its next-generation standard cell library with performance-driven area optimized components, single Fin cells, a new low-voltage SRAM bitcell, and improved analog layout design rules.

Click here to learn more about GF’s 12LP+ specialized application solution.

About GF

GLOBALFOUNDRIES (GF) is the world’s leading specialty foundry. GF delivers differentiated feature-rich solutions that enable its customers to develop innovative products for high-growth market segments. GF provides a broad range of platforms and features with a unique mix of design, development and fabrication services. With an at-scale manufacturing footprint spanning the U.S., Europe and Asia, GF has the flexibility and agility to meet the dynamic needs of customers across the globe. GF is owned by Mubadala Investment Company. For more information, visit

Leave a Reply

featured blogs
Oct 22, 2020
WARNING: If you read this blog and visit the featured site, Max'€™s Cool Beans will accept no responsibility for the countless hours you may fritter away....
Oct 22, 2020
Cadence ® Spectre ® AMS Designer is a high-performance mixed-signal simulation system. The ability to use multiple engines and drive from a variety of platforms enables you to "rev... [[ Click on the title to access the full blog on the Cadence Community site....
Oct 20, 2020
In 2020, mobile traffic has skyrocketed everywhere as our planet battles a pandemic. saw nearly double the mobile traffic in the first two quarters than it normally sees. While these levels have dropped off from their peaks in the spring, they have not returned to ...
Oct 16, 2020
[From the last episode: We put together many of the ideas we'€™ve been describing to show the basics of how in-memory compute works.] I'€™m going to take a sec for some commentary before we continue with the last few steps of in-memory compute. The whole point of this web...

featured video

Demo: Inuitive NU4000 SoC with ARC EV Processor Running SLAM and CNN

Sponsored by Synopsys

Autonomous vehicles, robotics, augmented and virtual reality all require simultaneous localization and mapping (SLAM) to build a map of the surroundings. Combining SLAM with a neural network engine adds intelligence, allowing the system to identify objects and make decisions. In this demo, Synopsys ARC EV processor’s vision engine (VPU) accelerates KudanSLAM algorithms by up to 40% while running object detection on its CNN engine.

Click here for more information about DesignWare ARC EV Processors for Embedded Vision

featured Paper

New package technology improves EMI and thermal performance with smaller solution size

Sponsored by Texas Instruments

Power supply designers have a new tool in their effort to achieve balance between efficiency, size, and thermal performance with DC/DC power modules. The Enhanced HotRod™ QFN package technology from Texas Instruments enables engineers to address design challenges with an easy-to-use footprint that resembles a standard QFN. This new package type combines the advantages of flip-chip-on-lead with the improved thermal performance presented by a large thermal die attach pad (DAP).

Click here to download the whitepaper

Featured Chalk Talk

Thermal Management Solutions

Sponsored by Mouser Electronics and Panasonic

With shrinking form factors, tighter power budgets, and higher performance, thermal management can be a challenge in today’s designs. It might be time to bust out the thermal grease to help conduct away some of that excess heat. But, before you grab that tube, check out this episode of Chalk Talk where Amelia Dalton chats with Len Metzger of Panasonic about the details, drawbacks, and design considerations when using thermal grease - and its alternatives.

Click here for more information about Panasonic Thermal Management Solutions