tag: scan diagnosis

Big Payback For Combining Different Types Of Fab Data
By Anne Meixner - 07 Dec, 2021 - Comments: 1

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

Scan Diagnosis
By Ed Sperling - 20 Dec, 2019 - Comments: 1

Jayant D’Souza, product manager at Mentor, a Siemens Business, explains the difference between scan test and scan diagnosis, what causes values in a scan test to change, how this can be used to hone in on the actual cause of a failure in a design, and how to utilize test hardware more efficiently. » read more

Highly Efficient Scan Diagnosis With Dynamic Partitioning
By Jayant D'Souza - 10 Sep, 2019 - Comments: 0

Charged with the task of improving yield, product engineers need to find the location of defects in manufactured ICs quickly and efficiently. Typically, they use volume scan diagnosis to generate large amounts of data from failing test cycles, which is then analyzed to reveal the location of defects. Scan failure data provides the basis for many decisions in the failure analysis and yield impro... » read more

Improve Volume Scan Diagnosis Throughput 10X With Dynamic Partitioning
By Mentor, a Siemens Business - 09 Sep, 2019 - Comments: 0

Performing volume scan diagnosis on today’s large, advanced node designs puts demands on turn-around-time and compute resources. This paper describes a new technique to maximize diagnosis throughput while performing ever more demanding scan diagnosis. The dynamic partitioning technology in Tessent Diagnosis enables in a 50% reduction in scan diagnosis time using only 20% of the typical memory... » read more

Breakthrough For Scan Diagnosis With Machine Learning
By Matthew Knowles - 07 May, 2019 - Comments: 0

Cell-aware diagnosis is a new and effective way to detect defects inside standard cells. Industry standard failure analysis (FA) results from a major foundry show that cell-aware diagnosis is very effective at increasing the resolution of the diagnosis by reducing the number of suspects in cell-internal defect data. With advanced technology nodes, we have more complex layout structures and f... » read more

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