Trends In Testing: New Challenges Create New Opportunities


As advancements in semiconductors and microelectronics soldier ahead into emerging, even uncharted, territory, new test challenges arise. To that end, let’s look at a few key trends and challenges that are driving opportunities for innovation in the test sector. Technology convergence has been a buzzword for some time, and this trend is only going to intensify with the heightened need to m... » read more

Where And When End-to-End Analytics Works


With data exploding across all manufacturing steps, the promise of leveraging it from fab to field is beginning to pay off. Engineers are beginning to connect device data across manufacturing and test steps, making it possible to more easily achieve yield and quality goals at lower cost. The key is knowing which process knob will increase yield, which failures can be detected earlier, and wh... » read more

Harnessing The Power Of Data In Semiconductor Test


Every day, new methods are being developed to harvest, cleanse, integrate, and analyze data sources and extract from them useful, actionable intelligence to aid decision-making and other processes. This is true for a variety of industries, including semiconductor design, manufacturing, and test. Moore’s Law (figure 1) may be slowing with respect to traditional scaling of transistor critica... » read more

If These Chips Could Talk: Actionable Insights From Path Margin Monitors


One of the most important current trends in electronics is the gathering and analysis of big data to reap benefits in cost, power, performance, and reliability. This is becoming common in the chip development flow. For example, data harvested from simulation regressions can aid in debug and reaching coverage goals. Machine learning (ML) uses the results of many passes through implementation (lo... » read more

Finding And Applying Domain Expertise In IC Analytics


Behind PowerPoint slides depicting the data inputs and outputs of a data analytics platform belies the complexity, effort, and expertise that improve fab yield. With the tsunami of data collected for semiconductor devices, fabs need engineers with domain expertise to effectively manage the data and to correctly learn from the data. Naively analyzing a data set can lead to an uninteresting an... » read more

Extreme Ancestry: Silicon Edition


The ability to trace the genealogy of all the components in an electronic device has been getting more complex for decades. For many industries — automotive, defense, medical and others — the need to locate the source of a problem in near real-time is paramount to gauging the extent of that problem. The extreme case is when the issue occurs with a product that already has been distributed a... » read more

Big Payback For Combining Different Types Of Fab Data


Collecting and combining diverse data types from different manufacturing processes can play a significant role in improving semiconductor yield, quality, and reliability, but making that happen requires integrating deep domain expertise from various different process steps and sifting through huge volumes of data scattered across a global supply chain. The semiconductor manufacturing IC data... » read more

Strategies For Meeting Stringent Standards For Automotive ICs


It may surprise you, but when it comes to chips in electronic braking systems, airbag control units, and more, automotive manufacturers are still using 10-year-old technology — and with good reason. For the automotive industry, the reliability, stability, and robustness of electronic components are critical, especially when it comes to meeting the stringent Automotive Electronics Council (... » read more

One Test Is Not Always Enough


To improve yield, quality, and cost, two separate test parameters can be combined to determine if a part passes or fails. The results gleaned from that approach are more accurate, allowing test and quality engineers to fail parts sooner, detect more test escapes, and ultimately to improve yield and reduce manufacturing costs. New data analytic platforms, combined with better utilization of s... » read more

Making Test Transparent With Better Data


Data is critical for a variety of processes inside the fab. The challenge is getting enough consistent data from different equipment and then plugging it back into the design, manufacturing, and test flows to quickly improve the process and uncover hard-to-find defective die. Progress is being made. The inspection and test industry is on the cusp of having more dynamic ways to access the dat... » read more

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