tag: data analytics

A Practical DRAM-Based Multi-Level PIM Architecture For Data Analytics
By Technical Paper Link - 20 Jul, 2023 - Comments: 0

A technical paper titled "Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics" was published by researchers at Korea Advanced Institute of Science & Technology (KAIST) and SK hynix Inc. Abstract: "Processing-in-memory (PIM) architecture is an inherent match for data analytics application, but we observe major challenges to address when accelerating it usi... » read more

Smart Manufacturing Makes Gains In Chip Industry
By Anne Meixner - 15 Jun, 2023 - Comments: 0

Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depen... » read more

Risks And Faults We Can Detect Using Machine Learning And Physics
By Tignis - 14 Jun, 2023 - Comments: 0

In its earliest form, technicians manually took condition status readings from individual pieces of equipment and used them to shape maintenance conclusions. Today, critical machine and system data can be streamed continuously, automatically, from industrial internet of things (IIoT) sensors for real-time analytics, diagnostics, and suggested actions. Click here to read more. » read more

Multivariate Analysis For Full Process Visibility
By Krista Tropper - 06 Jun, 2023 - Comments: 0

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation of those parameters may indicate a problem. For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis, also known as multivariate... » read more

Data Analytics For The Chiplet Era
By Shinji Hioki - 09 May, 2023 - Comments: 0

This article is based on a paper presented at SEMICON Japan 2022. Moore’s Law has provided the semiconductor industry’s marching orders for device advancement over the past five decades. Chipmakers were successful in continually finding ways to shrink the transistor, which enabled fitting more circuits into a smaller space while keeping costs down. Today, however, Moore’s Law is slowin... » read more

What Is Achievable With A Yield Management System?
By Antonija Zagar - 12 Apr, 2023 - Comments: 0

Semiconductor manufacturers are under constant pressure to increase yields and cut costs. Yield Management Systems (YMS) are designed specifically to meet the needs of semiconductor manufacturers, enabling them to investigate yield excursions, streamline the manufacturing processes, optimize the supply chain, analyze tools and eliminate workplace inefficiencies. In terms of data challenges... » read more

Getting Smarter About Tool Maintenance
By Anne Meixner - 16 Mar, 2023 - Comments: 0

Chipmakers have begun to shift to predictive maintenance for process tools, but the hefty investment in analytics and engineering efforts means it will take some time for smart maintenance to become a widespread practice. Semiconductor manufacturers need to maintain a diverse set of equipment to process the flow of wafers, dies, packaged parts, and boards running through factories. OSAT and ... » read more

Integrating Siloed Data In Semiconductor Manufacturing
By Antonija Zagar - 13 Mar, 2023 - Comments: 0

In semiconductor manufacturing, huge amounts of data are generated and collected at every step in multiple production areas, with data coming from wafer fab, probe/testing, assembly, and final test. That data is usually stored separately in its respective manufacturing department, isolated from other departments. In order to analyze the production data and make better decisions, yield an... » read more

Adopting Predictive Maintenance On Fab Tools
By Anne Meixner - 06 Dec, 2022 - Comments: 0

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled maintenance. But implementing this approach is non-trivial, and it can be disruptive to well-honed processes and flows. Not performing maintenance quickly enough can result in damage to wafers or the... » read more

AI-Driven Big Data Analytics Enables Actionable Intelligence, Improving SoC Design Productivity
By Cadence - 26 Oct, 2022 - Comments: 0

As the latest systems on chip (SoCs) grow in size and complexity, a vast amount of design data is generated during verification and implementation. Design data is business critical and, with the proliferation of artificial intelligence (AI) use in chip design, provides designers an opportunity to carry forward learnings and insights with every new design. To achieve first-pass success deliverin... » read more

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