Thermal Integrity Challenges Grow In 2.5D


Thermal integrity is becoming much harder to predict accurately in 2.5D and 3D-IC, creating a cascade of issues that can affect everything from how a system behaves to reliability in the field. Over the past decade, silicon interposer technology has evolved from a simple interconnect into a critical enabler for heterogeneous integration. Interposers today may contain tens of dies or chiplets... » read more

Mechanical Challenges Rise With Heterogeneous Integration


Companies integrating multiple chips or chiplets into a package will need to address structural and other mechanical engineering issues, but gaps in the design tools, new materials and interconnect technologies, and a shortage of expertise are making it difficult to address those issues. Throughout most of the history of the semiconductors, few people outside of foundries worried about struc... » read more

Power Semiconductors: A Deep Dive Into Materials, Manufacturing & Business


Whether you’re the owner of the average smartphone, commuting on trains, or driving around in a Tesla, you use power semiconductor devices every day. In a technology-dependent world, these devices are everywhere, and demand for more types of chips using different materials is growing. In the past, most engineers paid little attention to power semiconductors. They were deemed commodity, off... » read more

True 3D Is Much Tougher Than 2.5D


Creating real 3D designs is proving to be much more complex and difficult than 2.5D, requiring significant innovation in both technology and tools. While there has been much discussion about 3D designs, there are multiple interpretations about what 3D entails. This is more than just semantics, however, because each packaging option requires different design approaches and technologies. And a... » read more

Metrology Strategies For 2nm Processes


Metrology and wafer inspection processes are changing to keep up with evolving and new device applications. While fab floors still have plenty of OCD tools, ellipsometers, and CD-SEMs, new systems are taking on the increasingly 3D nature of structures and the new materials they incorporate. For instance, processes like hybrid bonding, 3D NAND flash devices, and nanosheet FETs are pushing the bo... » read more

How To Build Resilience Into Chips


Disaggregating chips into specialized processors, memories, and architectures is becoming necessary for continued improvements in performance and power, but it's also contributing to unusual and often unpredictable errors in hardware that are extremely difficult to find. The sources of those errors can include anything from timing errors in a particular sequence, to gaps in bonds between chi... » read more

Taming Corner Explosion In Complex Chips


There is a tenuous balance between the number of corners a design team must consider, the cost of analysis, and the margins they insert to deal with them, but that tradeoff is becoming a lot more difficult. If too many corners of a chip are explored, it might never see production. If not enough corners are explored, it could reduce yield. And if too much margin is added, the device may not be c... » read more

The Path To Known Good Interconnects


Chiplets and heterogenous integration (HI) provide a compelling way to continue delivering improvements in performance, power, area, and cost (PPAC) as Moore’s Law slows, but choosing the best way to connect these devices so they behave in consistent and predictable ways is becoming a challenge as the number of options continues to grow. More possibilities also bring more potential interac... » read more

Will Floating Point 8 Solve AI/ML Overhead?


While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

Screening For Silent Data Errors


Engineers are beginning to understand the causes of silent data errors (SDEs) and the data center failures they cause, both of which can be reduced by increasing test coverage and boosting inspection on critical layers. Silent data errors are so named because if engineers don’t look for them, then they don’t know they exist. Unlike other kinds of faulty behaviors, these errors also can c... » read more

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