Security Is Critical For Commercial Chiplets


Experts at the Table: Semiconductor Engineering sat down to talk about the security issues and requirements in commercial chiplet ecosystem, with Frank Schirrmeister, vice president solutions and business development at Arteris; Mayank Bhatnagar, product marketing director in the Silicon Solutions Group at Cadence; Paul Karazuba, vice president of marketing at Expedera; Stephen Slater, EDA prod... » read more

DTCO/STCO Create Path For Faster Yield Ramps


Higher density in planar SoCs and advanced packages, coupled with more complex interactions and dependencies between various components, are permitting systematic defects to escape traditional detection methods. These issues increasingly are not detected until the chips reach high-volume manufacturing, slowing the yield ramp and bumping up costs. To combat these problems, IDMs and systems co... » read more

AI/ML Challenges In Test and Metrology


The integration of artificial intelligence and machine learning (AI/ML) into semiconductor test and metrology is redefining the landscape for chip fabrication, which will be essential at advanced nodes and in increasingly dense advanced packages. Fabs today are inundated by vast amounts of data collected across multiple manufacturing processes, and AI/ML solutions are viewed as essential for... » read more

Strategies For Detecting Sources Of Silent Data Corruption


Engineering teams are wrestling with how to identify the root causes of silent data corruption (SDC) in a timely and cost-effective way, but the solutions are turning out to be broader and more complex than simply fixing a single defect. This is particularly vexing for data center reliability, accessibility and serviceability (RAS) engineering teams, because even the best tools and methodolo... » read more

Increased Automotive Data Use Raises Privacy, Security Concerns


The amount of data being collected, processed, and stored in vehicles is exploding, and so is the value of that data. That raises questions that are still not fully answered about how that data will be used, by whom, and how it will be secured. Automakers are competing based on the latest versions of advanced technologies such as ADAS, 5G, and V2X, but the ECUs, software-defined vehicles, an... » read more

Securing DRAM Against Evolving Rowhammer Threats


Advanced process nodes and higher silicon densities are heightening DRAM's susceptibility to Rowhammer attacks, as reduced cell spacing significantly decreases the hammer count needed for bit flips. Rowhammer exploits DRAM’s single-capacitor-per-bit design to trigger bit flips in adjacent cells through repeated memory row accesses. This vulnerability allows attackers to manipulate data, re... » read more

V2X Path To Deployment Still Murky


Experts at the Table: Semiconductor Engineering sat down to discuss Vehicle-To-Everything (V2X) technology and the path to deployment, with Shawn Carpenter, program director for 5G and space at Ansys; Lang Lin, principal product manager at Ansys; Daniel Dalpiaz, senior manager product marketing, Americas, green industrial power division at Infineon; David Fritz, vice president of virtual and hy... » read more

Chiplet IP Standards Are Just The Beginning


Experts at the Table: Semiconductor Engineering sat down to talk about chiplet standards, interoperability, and the need for highly customized AI chiplets, with Frank Schirrmeister, vice president solutions and business development at Arteris; Mayank Bhatnagar, product marketing director in the Silicon Solutions Group at Cadence; Paul Karazuba, vice president of marketing at Expedera; Stephen S... » read more

Startup Funding: February 2024


A startup developing AI chips dedicated to low-power AI inferencing captured one of the largest rounds of February. The startup, Recogni, already offers a low-power vision inferencing chip. Several other sizeable rounds were focused on the automotive space, with robotaxis, autonomous delivery, and the sensors that enable them. Another active area, power electronics drew funding for several c... » read more

Optimizing EDA Cloud Hardware And Workloads


Optimizing EDA hardware for the cloud can shorten the time required for large and complex simulations, but not all workloads will benefit equally, and much more can be done to improve those that can. Tens of thousands of GPUs and specialized accelerators, all working in parallel, add significant and elastic compute horsepower for complex designs. That allows design teams to explore various a... » read more

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