Semiconductor Test Faces Technology Shifts In The AI Era


The surge in data-rich applications shows no signs of slowing down, fueling significant evolution within the global semiconductor industry. This insatiable demand for data necessitates a comprehensive ecosystem involving sensors and systems to capture data, networks to transmit it, and storage and processing power to analyze it. Successful deployment of these applications relies on the devel... » read more

Understanding Test Quality In Semiconductor Devices: An Overview


When it comes to semiconductor device testing, the primary goal is to ensure that each device meets functional and performance specifications. Testing also plays a crucial role in confirming that products will work as intended in real-world applications. However, defects in the manufacturing process can be a hindrance, making testing an essential step for quality assurance. Why test matters: F... » read more

Analysis Of Multi-Chiplet Package Designs And Requirements For Production Test Simplification


In recent years there has been a sharp rise of multi-die system designs. Numerous publications targeting a large variety of applications exist in the public domain. One presentation [2] on the IEEE’s website does a good job of detailing the anecdotal path of multi-die systems by way of chiplet building blocks integrated within a single package [2]. The presentation includes references to a ha... » read more

Power-Aware Test Vector Porting For Production ATE


Power management in contemporary system-on-chip (SoC) designs is almost unimaginably complex. Processors and other chip cores turn on and off as needed. Advanced features such as dynamic voltage and frequency scaling (DVFS) can adjust to changing conditions and incrementally adjust power and performance on the fly. Power management starts from the lowest hardware level of transistor structures ... » read more

AI’s Ability To Deliver Breakthroughs Across Semiconductor Design And Manufacturing


AI holds great promise for our industry. It will help close the divide between design, manufacturing and test that is required to effectively produce today’s most advanced hybrid devices. One way to look at the potential impact of AI in the semiconductor industry is to realize that it is more and more driven by software engineering. When designing a chip, it’s essentially like writing... » read more

Silicon Carbide And Gallium Nitride Bring New Challenges For Semiconductor Test


In the era of megatrends such as electric vehicles (EVs), new technologies are emerging to keep up with evolving demands. One example of this is the evolution of compound semiconductors that use silicon carbide (SiC) and gallium nitride (GaN) for high-performance power systems. Innovating test protocols to handle wide bandgap materials For many power-related applications, the semiconductor in... » read more

A Renaissance Of Innovation


Innovation in semiconductor testing plays a critical role in the advancement of the semiconductor industry, ensuring that the chips and components that power modern technology are reliable, efficient, and capable of meeting the ever-increasing demands of various applications. As semiconductors become more complex, the methods and technologies used to test them must also evolve to maintain quali... » read more

Complex Heterogeneous Integration Drives Innovation In Semiconductor Test


Heterogeneous integration is driving innovation in the semiconductor industry, but it also introduces more complexity in chip design, which translates to more intricate test requirements. The automated test equipment (ATE) industry is responding, developing and utilizing more sophisticated test equipment capable of handling the diverse functionalities and interfaces needed to test heterogeneous... » read more

New Challenges In IC Reliability


Experts at the Table: Semiconductor Engineering sat down to discuss reliability of chips, how it is changing, and where the new challenges are, with Steve Pateras, vice president of marketing and business development at Synopsys; Noam Brousard, vice president of solutions engineering at proteanTecs; Harry Foster, chief verification scientist at Siemens EDA; and Jerome Toublanc, high-tech soluti... » read more

ML Model Usage For Various Life Stages Of Semiconductor Test


By Shinji Hioki and Ken Butler From development through high volume manufacturing (HVM), semiconductor manufacturers’ pain points change based on the life stages. Each stage requires different types of applications to help with business needs. At the early stage, where the design and process are still immature, understanding the root causes of maverick material and implementing fixes is th... » read more

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