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Chasing Test Escapes In IC Manufacturing


The number of bad chips that slip through testing and end up in the field can be significantly reduced before those devices ever leave the fab, but the cost of developing the necessary tests and analyzing the data has sharply limited adoption. Determining an acceptable test escape metric for an IC is essential to improving the yield-to-quality ratio in chip manufacturing, but what exactly is... » read more

Cloud Vs. On-Premise Analytics


The immense and growing volume of data generated in chip manufacturing is forcing chipmakers to rethink where to process and store that data. For fabs and OSATs, this decision is not one to be taken lightly. The proprietary nature of yield, performance, and other data, and corporate policies to retain tight control of that data, have so far limited outsourcing to the cloud. But as the amount... » read more

Predicting And Avoiding Failures In Automotive Chips


Semiconductor Engineering sat down to discuss automotive electronics reliability with Jay Rathert, senior director of strategic collaborations at KLA; Dennis Ciplickas, vice president of advanced solutions at PDF Solutions; Uzi Baruch, vice president and general manager of the automotive business unit at OptimalPlus; Gal Carmel, general manager of proteanTecs' Automotive Division; Andre van de ... » read more

Using Analytics To Reduce Burn-in


Silicon providers are using adaptive test flows to reduce burn-in costs, one of the many approaches aimed at stemming cost increases at advanced nodes and in advanced packages. No one likes it when their cell phone fails within the first month of ownership. But the problems are much more pressing when the key components in data warehouse servers or automobiles fail. Reliability expectations ... » read more

Infrastructure Impacts Data Analytics


Semiconductor data analytics relies upon timely, error-free data from the manufacturing processes, but the IT infrastructure investment and engineering effort needed to deliver that data is, expensive, enormous, and still growing. The volume of data has ballooned at all points of data generation as equipment makers add more sensors into their tools, and as monitors are embedded into the chip... » read more

Adaptive Test Gains Ground


Not all devices get tested the same way anymore, and that’s a good thing. Quality, test costs, and yield have motivated product engineers to adopt test processes that fall under the umbrella of adaptive test, which uses test data to modify a subsequent test process. But to execute such techniques requires logistics that support analysis of data, as well as enabling changes to a test based ... » read more

Does HW Vs. SW Choice Affect Quality And Reliability?


Electronic systems comprise both hardware and software. Which functions are implemented with hardware and which with software are decisions made based upon a wide variety of considerations, including concerns about quality and reliability. Hardware may intrinsically provide for higher device quality, but it is also the source of reliability concerns. This is in contrast with popular views of... » read more

Are Chips Getting More Reliable?


The semiconductor industry is making huge progress in understanding the causes and telltale signs of circuit aging and irregular behavior. But are devices actually getting more reliable? The answer depends on a number of factors, none of which is easily measured. To be sure, circuits are much better designed and inspected than in the past, and the individual components are printed more accur... » read more

Monitoring IC Abnormalities Before Failures


The rising complexities of semiconductor processes and design are driving an increasing use of on-chip monitors to support data analytics from an IC’s birth through its end of life — no matter how long that projected lifespan. Engineers have long used on-chip circuitry to assist with manufacturing test, silicon debug and failure analysis. Providing visibility and controllability of inter... » read more

Cleaning Data For Final Test


John O’Donnell, CEO of yieldHUB, talks about why data integrity is so critical for final test, what can cause it to be less-than-perfect, what’s needed to improve the quality of that data, and how that impacts the overall yield in a fab. » read more

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