Testing More To Boost Profits


Not all chips measure up to spec, but as more data becomes available and the cost of these devices continues to rise, there is increasing momentum to salvage and re-purpose chips for other applications and markets. Performance-based binning is as old as color-banded resistors, but the practice is spreading — even for the most advanced nodes and packages. Over the last three decades, engine... » read more

Predicting Reliability At 3/2nm And Beyond


The chip industry is determined to manufacture semiconductors at 3/2nm — and maybe even beyond — but it's unlikely those chips will be the complex all-in-one SoCs that have defined advanced electronics over the past decade or so. Instead, they likely will be one of many tiles in a system that define different functions, the most important of which are highly specialized for a particular app... » 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

Introduction To Test Data Formats


This blog is intended to provide an introduction to STDF and ATDF data formats. This is not intended to be definitive, only an introduction. If you are experienced with seeing data in spreadsheets and tables, then STDF is very different from what you are used to. Here we try to explain. STDF is the “Standard Test Data Format” developed jointly between some of the largest test equipment v... » read more

Test Engineers In Very Short Supply


Semiconductor design, verification, manufacturing, and test requires an army of engineers, with each playing a special role. But increasingly, these disciplines also require additional training to be able to understand the context around their jobs, and that is making it harder to fill different positions at a time when the chip industry already is severely short-staffed. This is particularl... » read more

Completing The Silicon Lifecycle Management Puzzle


The year 2020 will be remembered for many reasons. The global pandemic, the political struggles and the extreme weather will occupy our thoughts for many years. There was another event that occurred in 2020 that will also be remembered in a smaller, but very important portion of the world. It’s the year that Synopsys acquired Moortec to complete the silicon lifecycle management (SLM) puzzle. ... » read more

Infrastructure Impacts Data Analytics


Semiconductor data analytics relies upon timely, error-free data from the manufacturing processes, but the IT infrastructure investment and engineering effort needed to deliver that data is, expensive, enormous, and still growing. The volume of data has ballooned at all points of data generation as equipment makers add more sensors into their tools, and as monitors are embedded into the chip... » read more

Picking The Right Location For Probe Stations


High performance flicker noise or phase noise TestCells can be degraded by installing them in a bad location. And just like developing a high-performance system, finding a good location can be a time consuming and difficult task for the typical lab technician that is tasked with setting up the new prober. To do it right requires specialized measurement equipment and tools such as accelerometers... » read more

Change Management With Impact Analysis During Safety-Critical IP And SoC Development


Standards like ISO 26262 provide guidance to mitigate safety risks by defining safety analyses requirements and processes. The standard describes Change Management as a way to analyze and control changes in safety-related work products, items, and elements throughout the safety lifecycle. Impact analysis, a part of the Change Management process, is a systematic approach for evaluating changes t... » read more

Transforming Vision Inspection With Machine Learning


How auto-manufacturers can apply ML & AI algorithms to enhance image analytics on their factory floor and to ensure higher product quality? Discover the next generation visual inspection in our new case study. In this case study , you will learn about: Current limitations of image inspection in the manufacturing industry. The O+ end-to-end solution, which brings machine learning and... » read more

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