Why Chips Fail, And What To Do About It


Experts at the Table: Semiconductor Engineering sat down to discuss reliability of chips in the context of safety- and mission-critical systems, as well as increasing utilization due to an explosion in AI data, with Steve Pateras, vice president of marketing and business development at Synopsys; Noam Brousard, vice president of solutions engineering at proteanTecs; Harry Foster, chief verificat... » read more

Shift Left Strategy For Semiconductor Production Testing


In the fast-paced world of semiconductor manufacturing, achieving higher yields and reducing costs are constant challenges. Ideally, yield should only be impacted by unavoidable defects when everything else is performing as expected. However, when yield reduction occurs due to the process sensitivity of the design, these issues can be detected and, in many cases, corrected. proteanTecs has d... » read more

Silicon Lifecycle Management Gains Steam


Silicon lifecycle management (SLM) is gaining significant traction, driven increasingly by stringent reliability requirements for safety-critical devices in aerospace, medical, and automotive. Improving reliability has been a discussion point for years, but it has become especially important with the use of chips designed at leading-edge nodes in both mission- and safety-critical application... » read more

Chip Industry Week In Review


CSIS issued a new report that says Intel is "not too big to fail, but too good to lose." The report noted that Intel is needed for national security, and that it must be viewed in a geopolitical context rather than from a purely business standpoint when it comes to funding the company. Japan's government is creating a 10 trillion yen (~$65 billion) fund for next-gen technologies, including A... » read more

Extending Chip Lifetime With Safer Voltage Scaling


What if your chips lived 20% longer without compromising performance, and even while reducing power consumption? How would it affect your product’s reliability and cost? What would be the effect on your profitability? With the demand for longer-lasting chips growing across industries, designers and reliability engineers face increasing pressure to ensure their products perform correctly fo... » read more

Outsmarting Silent Data Corruption In AI Processors With Two-Stage Detection


Silent data corruption is on the rise following advancements in semiconductor technology. The explosion in AI for speech, image, video, and text processing leads to a growing complexity and diversity of hardware systems, bringing an increased risk to data integrity. SDC rate is much higher than software engineers expect, undermining the hardware reliability they used to take for granted. Rec... » read more

Metrology Advances Step Up To Sub-2nm Device Node Needs


Metrology and inspection are dealing with a slew of issues tied to 3D measurements, buried defects, and higher sensitivity as device features continue to shrink to 2nm and below. This is made even more challenging due to increasing pressure to ramp new processes more quickly. Metrology tool suppliers must exceed current needs by a process node or two to ensure solutions are ready to meet tig... » read more

From Reaction To Prevention In Data Center RAS


The rise of artificial intelligence (AI), cloud services, and IoT has fueled the rapid expansion of hyperscale data centers. These massive facilities house thousands of servers, all working to support an increasingly digital world. But as the scale of data centers grows, so too does the need for reliable and high-performance semiconductors. Semiconductor failures and inconsistencies can cause s... » 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

Redefining RAS in Datacenters with Real-Time Health Monitoring


Abstract Hyperscale datacenters require intense computational power for compute-intensive tasks, such as AI, data analytics, machine learning, and big data processing. They leverage parallel processing across multiple computers, in high-density servers, to handle complex tasks efficiently. This uses specialized, powerful processors and training and inference of specific GPUs or ASICs. Such c... » read more

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