Automotive, AI Drive Big Changes In Test


Design for test is becoming enormously more challenging at advanced nodes and in increasingly heterogeneous designs, where there may be dozens of different processing elements and memories. Historically, test was considered a necessary but rather mundane task. Much has changed over the past year or so. As systemic complexity rises, and as the role of ICs in safety-critical markets continues ... » read more

How To Manage DFT For AI Chips


Semiconductor companies are racing to develop AI-specific chips to meet the rapidly growing compute requirements for artificial intelligence (AI) systems. AI chips from companies like Graphcore and Mythic are ASICs based on the novel, massively parallel architectures that maximize data processing capabilities for AI workloads. Others, like Intel, Nvidia, and AMD, are optimizing existing archite... » read more

Building Bridges: A New DFT Paradigm


Over the last twenty years, structural testing with scan chains has become pervasive in chip design methodology. Indeed, it’s remarkable to think that most electronic devices we interact with today (think smartphones, laptops, televisions, etc.) contain hundreds to thousands of interconnected scan chains used to verify that the semiconductors were manufactured without defects. Because the imp... » read more

Why Analog Designs Fail


The gap between analog and digital reliability is growing, and digital designs appear to be winning. Reports show that analog content causes the most test failures and contributes significantly more than digital to field returns. The causes aren't always obvious, though. Some of it is due to the maturity of analog design and verification. While great strides have been made in digital circuit... » read more

Concurrent Test


Derek Wu, senior staff applications engineer at Advantest, looks at the need for doing multiple tests at the same time as chip designs become more complex, increasingly heterogeneous, and much more difficult to test at advanced nodes. https://youtu.be/-8inbjX_af0       __________________________________ See more tech talk videos here. » read more

AI In Chip Manufacturing


Ira Leventhal, New Concept Product Initiative vice president at Advantest, talks with Semiconductor Engineering about using analysis and deep learning to make test more efficient and more effective. https://youtu.be/3VVG4JVnjHo » read more

Lab-To-Fab Testing


Test equipment vendors are working on integrating testing and simulation in the lab with testing done later in the fab, setting the stage for what potentially could be the most significant change in semiconductor test in years. If they are successful, this could greatly simplify design for test, which has become increasingly difficult as chips get more complex, denser, and as more heterogene... » read more

The Race To Zero Defects


By Jeff Dorsch and Ed Sperling Testing chips is becoming more difficult, more time-consuming, and much more critical—particularly as these chips end up in cars, industrial automation, and a variety of edge devices. Now the question is how to provide enough test coverage to ensure that chips will work as expected without slowing down the manufacturing process or driving up costs. Balanci... » read more

Changing The Design Flow


Synopsys’ Michael Jackson talks with Semiconductor Engineering about why it’s becoming necessary to fuse together various pieces of digital design. https://youtu.be/AOWh4wjw-ps » read more

Accelerating Test Pattern Bring-Up For Rapid First Silicon Debug


Reducing the time spent on silicon bring-up is critical in getting ICs into the hands of customers and staying competitive. Typically, the silicon bring-up process involves converting the test patterns to a tester-specific format and generating a test program that is executed by Automatic Test Equipment (ATE). This standard silicon bring-up flow is becoming too slow and expensive, especially fo... » read more

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