Optimizing DFT With AI And BiST


Experts at the Table: Semiconductor Engineering sat down to explore how AI impacts design for testability, with Jeorge Hurtarte, senior director of product marketing in the Semiconductor Test Group at Teradyne; Sri Ganta, director of test products at Synopsys; Dave Armstrong, principal test strategist at Advantest; and Lee Harrison, director of Tessent automotive IC solutions at Siemens EDA. Wh... » read more

Innovations Driving The Advanced Packaging Roadmap: Part Two


As the advanced packaging world enters the AI era, manufacturers are exploring ways to extend the life cycle of organic substrates and successfully introduce glass substrates to high volume manufacturing. In last month’s blog, “Innovations Driving The Advanced Packaging Roadmap: Part One,” we discussed the challenges of organic and glass substrates as the industry marches toward sub-2µm ... » read more

Transformational Opportunities Coming To Semiconductor Manufacturing


During the GSA US Executive Forum in September 2024, a panel discussion brought together Marco Chisari, EVP from Samsung Semiconductor, Jeff Howell, Global VP for High Tech at SAP, and John Kibarian, CEO of PDF Solutions. The purpose of the discussion was to compare and contrast the perspectives from one of the largest global semiconductor companies with that of the most widely used enterpri... » read more

Hyperconvergence Of Design For Test And Physical Design


By Sri Ganta and Hyoung-Kook Kim In today’s highly competitive semiconductor industry, chip-design companies strive for competitive advantages by optimizing designs for PPA (Power, Performance, Area). Along with the functional logic, design cores also comprise DFT (Design for Test) logic that spreads across the design. The DFT logic also must be optimized for PPA, requiring design implemen... » read more

Silent Data Errors Still Slipping Through The Cracks


Silent data corruption errors in large server farms have become a major concern of cloud users, hyperscalers, processor manufacturers and the test community. Silent data errors (also called silent data corruption errors) are hardware errors that occur when an incorrect computational result from a processor core goes undetected by the system. The data is silently corrupted because neither sof... » read more

Simulation Closes Gap Between Chip Design Optimization And Manufacturability


Simulation is playing an increasingly critical and central role throughout the design-through-manufacturing flow, fusing together everything from design to manufacturing and test in order to reduce the number and cost of silicon respins. The sheer density of modern chips, combined with advanced packaging techniques like 3D stacking and heterogeneous integration, has made iterative physical p... » read more

IC Equipment Communication Standards Struggle As Data Volumes Grow


The tsunami of data produced during wafer fabrication cannot be effectively leveraged without standards. They determine how data is accessed from equipment, which users need data access and when, and how fast it can be delivered. On top of that, best practices in data governance and data quality are needed to effectively interpret collected data and transfer results. When fab automation and ... » read more

Early Detection Of C-RES Degradation On High-Current Power Planes


Probe-card or device contactor damage can be dramatic and catastrophic, with yield dropping drastically very quickly. What is not dramatic is the hypothesized slow probe needle or contactor degradation process that might precede catastrophic failure. Such degradation is difficult to detect in the early stages, when probe cards, die, and packages continue to yield normally. A key goal is to dete... » read more

Using AI In Semiconductor Inspection


AI is exceptionally good at spotting anomalies in semiconductor inspection. The challenge is training different models for different inspection tools and topographies, and knowing which model to use at any particular time. Different textures in backgrounds are difficult for traditional algorithms, for example. But once machine learning models are trained properly, they have proven effective in ... » read more

Innovations Driving The Advanced Packaging Roadmap: Part One


Advanced IC substrates (AICS) have been marching toward the 2µm line/space (L/S) redistribution layer (RDL) technology node for some time (figure 1). However, many questions remain about the ability of organic substrates to meet the line/space requirements of the next generation of advanced packages (AP), those below 2µm L/S and perhaps to 1.5µm L/S. Simply put: are organic substrates up to ... » read more

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