Chip Industry’s Technical Paper Roundup: May 16


New technical papers recently added to Semiconductor Engineering’s library: [table id=103 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us... » read more

LPDDR Flash In Automotive


New automotive architectures are raising challenges for how to utilize memory effectively and efficiently. An LPDDR interface for flash allows different processors to utilize multiple banks of flash memory, which in turn reduces latency and interference. Sandeep Krishnegawda, vice president of marketing and applications at Infineon, talks about the new zonal controllers in automotive design and... » read more

GDDR6 Delivers The Performance For AI/ML Inference


AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities firmly to the forefront of public attention. AI/ML is really two applications: training and inference. Each relies on memory performance, and each has a unique set of requirements that drive the choi... » read more

How Metrology Tools Stack Up In 3D NAND Devices


Multiple innovations in semiconductor processing are needed to enable 3D NAND bit density increases of about 30% per year at ever-decreasing cost per bit, all of which will be required to meet the nonvolatile storage needs of the big data era. 3D NAND is the first truly three-dimensional device in production. It is both a technology driver for new metrology methods and a significant part of ... » read more

Week In Review: Semiconductor Manufacturing, Test


Global semiconductor sales reached $574 billion in 2022, and U.S. semiconductor companies accounted for sales totaling $275 billion, or 48% of the global market, according to the 2023 Factbook released by the Semiconductor Industry Association (SIA). DRAM and NAND prices likely will continue to fall further this quarter because production cuts have not kept pace with weakening demand, accord... » read more

Week In Review: Design, Low Power


Synopsys acquired Silicon Frontline Technology, a provider of an electrical layout verification solution for mixed-signal and analog designs, large-scale power semiconductor devices, and electrostatic discharge protection networks. "This acquisition enables Synopsys to extend the capabilities of our design analysis portfolio and help build out a system-level electrical analysis platform. We als... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Qualcomm signed a definitive agreement to acquire fabless semiconductor company Autotalks, maker of automotive-qualified vehicle-to-everything (V2X) SoCs, processors, sensors, V2X RF transceivers, and other products for use in automatic braking and cooperative perception systems (where a vehicle can see what another vehicle is seeing). Autotalks’ V2X products are dual-m... » read more

Holistic Power Reduction


The power consumption of a device is influenced by every stage of the design, development, and implementation process, but identifying opportunities to save power no longer can be just about making hardware more efficient. Tools and methodologies are in place for most of the power-saving opportunities, from RTL down through implementation, and portions of the semiconductor industry already a... » read more

From Known Good Die To Known Good System With UCIe IP


Multi-die systems are made up of several specialized functional dies (or chiplets) that are assembled in the same package to create the complete system. Multi-die systems have recently emerged as a solution to overcome the slowing down of Moore’s law by providing a path to scaling functionality in the packaged chip in a way that is manufacturable with good yield. Additionally, multi-die sy... » read more

Making Tradeoffs With AI/ML/DL


Machine learning, deep learning, and AI increasingly are being used in chip design, and they are being used to design chips that are optimized for ML/DL/AI. The challenge is understanding the tradeoffs on both sides, both of which are becoming increasingly complex and intertwined. On the design side, machine learning has been viewed as just another tool in the design team's toolbox. That's s... » read more

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