tag: data analytics

Debug And Traceability Of MCMs And Chiplets In The Manufacturing Test Process
By Guy Cortez - 16 Apr, 2021 - Comments: 0

Single die packages and products have been the norm for decades. Moreover, so has multi-chip modules (MCMs) or system in package (SiP) for quite some time. Understandably, with ASICs and SoCs becoming larger while silicon geometries continue to get smaller, there is an opportunity to combine even more functionality into a smaller form factor for the end product. Hence, new advancements in desig... » read more

Cloud Vs. On-Premise Analytics
By Anne Meixner - 09 Mar, 2021 - Comments: 2

The immense and growing volume of data generated in chip manufacturing is forcing chipmakers to rethink where to process and store that data. For fabs and OSATs, this decision is not one to be taken lightly. The proprietary nature of yield, performance, and other data, and corporate policies to retain tight control of that data, have so far limited outsourcing to the cloud. But as the amount... » read more

Finally, Analyzing All Test And Manufacturing Data Automatically
By Guy Cortez - 09 Mar, 2021 - Comments: 0

Product quality and yield, operational efficiency, and time-to-market continue to be dominant drivers in the semiconductor industry. Adding to this complexity is a diverse manufacturing and test supply-chain of independent providers all continuously generating enormous amounts of different types of chip-related data in various formats. The knowledge contained within this data is critical to pro... » read more

Why Improving Auto Chip Reliability Is So Hard
By Susan Rambo - 09 Feb, 2021 - Comments: 1

Tools and ecosystems that focus on reliability and the long-term health of chips are starting to coalesce for the automotive electronics industry. Data gleaned from a chip’s lifecycle — design, verification, test, manufacturing, and in-field operation — will become key to achieving the longevity, reliability, functional safety, and security of newer generations of automobiles. Having s... » read more

Data Issues Mount In Chip Manufacturing
By Anne Meixner - 09 Feb, 2021 - Comments: 2

For yield management systems the old calculation adage, "garbage in/garbage out" still rings true. Aligning and cleaning data remains a dirty business. With the increased value in data in the semiconductor supply chain, there now are essentially two supply chains running in parallel. One involves the physical product being created, while the other includes the data associated with each proce... » read more

Too Much Fab And Test Data, Low Utilization
By Anne Meixner - 12 Jan, 2021 - Comments: 7

Can there be such a thing as too much data in the semiconductor and electronics manufacturing process? The answer is, it depends. An estimated 80% or more of the data collected across the semiconductor supply chain is never looked at, from design to manufacturing and out into the field. While this may be surprising, there are some good reasons: Engineers only look at data necessary to s... » read more

Using Analytics To Reduce Burn-in
By Anne Meixner - 12 Jan, 2021 - Comments: 3

Silicon providers are using adaptive test flows to reduce burn-in costs, one of the many approaches aimed at stemming cost increases at advanced nodes and in advanced packages. No one likes it when their cell phone fails within the first month of ownership. But the problems are much more pressing when the key components in data warehouse servers or automobiles fail. Reliability expectations ... » read more

Predicting Reliability At 3/2nm And Beyond
By Ed Sperling - 08 Dec, 2020 - Comments: 0

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

Infrastructure Impacts Data Analytics
By Anne Meixner - 08 Dec, 2020 - Comments: 2

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

Silicon Lifecycle Management
By Ed Sperling - 30 Nov, 2020 - Comments: 0

How do you track, measure and ensure reliability over the lifetime of a chip, regardless of how or where it is used? Steve Pateras, senior director of marketing for test products at Synopsys, drills down into the impact of hardware-software co-design, over-the-air updates, the expected lifetime of designs, and how the various monitors and sensors are used to track environmental, structural and ... » read more

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