Designing Chips For Test Data


Collecting data to determine the health of a chip throughout its lifecycle is becoming necessary as chips are used in more critical applications, but being able to access that data isn't always so simple. It requires moving signals through a complex, sometimes unpredictable, and often hostile environment, which is a daunting challenge under the best of conditions. There is a growing sense of... » read more

Geo-Spatial Outlier Detection


Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and why. The main idea in outlier detection is to find something in or on a die that is different from all the other dies on a wafer. Doing this in the context of a die’s neighbor has become easie... » read more

Design For Test Data


As design pushes deeper into data-driven architectures, so does test. Geir Eide, director for product management of DFT and Tessent Silicon Lifecycle Solutions at Siemens Digital Industries Software, talks with Semiconductor Engineering about a subtle but significant shift for designing testability into chips so that test data can be used at multiple stages during a device’s lifetime. » read more

5G Chips Add Test Challenges


The advent of chips supporting millimeter-wave (mmWave) 5G signals is creating a new set of design and testing challenges. Effects that could be ignored at lower frequencies are now important. Performing high-volume test of RF chips will require much more from automated test equipment (ATE) than is required for chips operating below 6 GHz. “MmWave design is a pretty old thing,” said Y... » read more

Chip Monitoring And Test Collaborate


As on-chip monitoring becomes more prevalent in complex advanced-node ICs, it’s easy to question whether or not it conflicts with conventional silicon testing. It might even supplant such testing in the future. Or alternatively, they could interact, with each supporting the other. “On-chip monitors provide fine-grained observability into effects and issues that are otherwise difficult or... » read more

AI In Inspection, Metrology, And Test


AI/ML is creeping into multiple processes within the fab and packaging houses, although not necessarily for the purpose it was originally intended. The chip industry is just beginning to learn where AI makes sense and where it doesn't. In general, AI works best as a tool in the hands of someone with deep domain expertise. AI can do certain things well, particularly when it comes to pattern m... » read more

The Other Side Of AI System Reliability


Adding intelligence into pervasive electronics will have consequences, but not necessarily what most people expect. Nearly everything electronic these days has some sort of "smart" functionality built in or added on. This can be as simple as a smoke alarm that alerts you when the batteries are running low, a home assistant that learns your schedule and dials the thermostat up or down, or a r... » read more

Making Sure AI/ML Works In Test Systems


Artificial intelligence/machine learning is being utilized increasingly to find patterns and outlier data in chip manufacturing and test, improving the overall yield and reliability of end devices. But there are too many variables and unknowns to reliably predict how a chip will behave in the field using just AI. Today, every AI use case — whether a self-driving car or an industrial sortin... » read more

Digital Test Bulks Up – Or Down


Large digital integrated circuits are becoming harder to test in a time- and cost-efficient manner. AI chips, in particular, have tiled architectures that are putting pressure on older testing strategies due to the volume of test vectors required. In some cases, these chips are so large that they exceed reticle size, requiring them to be stitched together. New testing efficiencies are needed... » read more

Figuring Out Binary Datalog Formats Without A Specification


Being in the realm of semiconductor data with a wide range of customers, companies often throw interesting technical challenges at us. The most complex one so far this year is probably a request (OK, a requirement!) to interpret binary test datalog files so that they can then be analysed from our yieldHUB database system. The company provided us with little information on the actual binary form... » read more

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