What Designers Need To Know About GAA


While only 12 years old, finFETs are reaching the end of the line. They are being supplanted by gate-all-around (GAA), starting at 3nm [1], which is expected to have a significant impact on how chips are designed. GAAs come in two main flavors today — nanosheets and nanowires. There is much confusion about nanosheets, and the difference between nanosheets and nanowires. The industry still ... » read more

How To Plan And Conduct Highly Accelerated Life Testing


Assessing the robustness of an electronic product is integral to successful design and performance. Highly accelerated life testing (HALT) is an important testing tool for this purpose, and its effectiveness can be maximized through careful planning prior to setup and detailed execution. What is HALT? HALT is the process of applying increased stressors to an electronic device to force failure... » read more

Transitioning To Photonics


Silicon photonics is undergoing a resurgence as traditional approaches for reducing power and heat become more difficult and expensive, opening the door to a whole new set of technological challenges and driving up demand for a skill set that is in short supply today. From a technology standpoint, photonics is extremely complex. Signals drift, they are modulated with heat, and structures lik... » read more

Blog Review: April 12


Cadence's Ericles Sousa describes the five critical features of automotive SoC architectures that are essential for developing the next generation of passenger vehicles. In a podcast, Siemens' Steph Chavez chats with Gerry Partida of Summit Interconnect about the difficulties in collaboration between PCB designers and manufacturers, along with best practices that designers should follow to r... » read more

Simulation Solutions For Aviation: Hybrid-Electric Propulsion Systems


The commercial aviation industry is facing the total transformation of aircraft propulsion in the coming decades. As manufacturers develop more sustainable propulsion systems and strive to reduce the environmental impact of commercial aircraft, they must design products optimized for performance and safety. Commercial aviation companies can use digital engineering solutions to do exactly that. ... » read more

Blog Review: April 5


Synopsys's Gordon Cooper argues that AI transformer models, initially developed for natural language processing such as translation and question answering, are starting to make inroads in the computer vision application landscape and changing the direction of deep-learning architectures. Siemens' Patrick Hope shows how to identify opportunities to optimize a PCB design through the creation o... » read more

Blog Review: March 29


Siemens' Heather George suggests adopting a shift-left strategy for complex designs that integrate multiple dies into a package and examines the challenges and opportunities for performing comprehensive tests on 2.5D and 3D IC designs. Synopsys' Shekhar Kapoor notes that when considering whether a system will perform as intended, techniques that work well for monolithic SoCs may not be as we... » 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

Managing EDA’s Rapid Growth Expectations


The EDA industry has been doing very well recently, but how long this run will continue is a matter of debate. EDA is an industry ripe for disruption due to rapid changes in chip architectures, end markets, and a long list of new technologies. In addition, recent geopolitical tensions are bringing a lot more attention to this small sector upon which the whole semiconductor industry rests. De... » read more

Blog Review: March 22


Siemens EDA's Dan Yu warns that the unavailability of verification data is slowing down the development of advanced machine learning for verification, with valuable data assets either siloed among different team members or projects or simply discarded due to the lack of analytic techniques to extract value from them. Synopsys' Richard Solomon and Dana Neustadter point to the need for hardwar... » read more

← Older posts Newer posts →