Using Manufacturing Data To Boost Reliability


As chipmakers turn to increasingly customized and complex heterogeneous designs to boost performance per watt, they also are demanding lower defectivity and higher yields to help offset the rising design and manufacturing costs. Solving those issues is a mammoth multi-vendor effort. There can be hundreds of process steps in fabs and packaging houses. And as feature sizes continue to shrink, ... » 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

Enablers And Barriers For Connecting Diverse Data


More data is being collected at every step of the manufacturing process, raising the possibility of combining data in new ways to solve engineering problems. But this is far from simple, and combining results is not always possible. The semiconductor industry’s thirst for data has created oceans of it from the manufacturing process. In addition, semiconductor designs large and small now ha... » read more

Coping With Parallel Test Site-to-Site Variation


Testing multiple devices in parallel using the same ATE results in reduced test time and lower costs, but it requires engineering finesse to make it so. Minimizing test measurement variation for each device under test (DUT) is a multi-physics problem, and it's one that is becoming more essential to resolve at each new process node and in multi-chip packages. It requires synchronization of el... » 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

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

CEO Outlook: Chiplets, Longer IC Lifetimes, More End Markets


Experts at the Table: Semiconductor Engineering sat down to discuss chiplets, longer IC lifetimes, and a spike in the number of end applications with Lip-Bu Tan, CEO of Cadence; Simon Segars, CEO of Arm; Joseph Sawicki, executive vice president of Siemens IC EDA; John Kibarian, CEO of PDF Solutions; Prakash Narain, president and CEO of Real Intent; Dean Drako, president and CEO of IC Manage; an... » read more

Driving Toward Predictive Analytics With Dynamic Parametric Test


The foundation of parametric test within semiconductor manufacturing is its usefulness in determining that wafers have been fabricated properly. Foundries use parametric test results to help verify that wafers can be delivered to a customer. For IDMs, the test determines whether the wafers can be sent on for sorting. Usually inserted into the semiconductor manufacturing flow during wafer fabric... » read more

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