Fast Monte Carlo Simulations For Timing Variation Analysis


Process variations and device mismatches profoundly affect the latest ultra-small geometrical processes. Complexity creates additional factors that impact device manufacturing variability, which in turn impact overall yield. Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. How... » read more

Blog Review: Jan. 29


Cadence's Reela Samuel looks beyond silicon to new semiconductor materials under development and the particular applications for gallium nitride, silicon carbide, indium phosphide, glass, and diamond. Siemens' Kyle Fraunfelter and Melville Bryant find that lean approaches alone cannot address the increasingly complex sustainability challenges of semiconductor manufacturing and call for the e... » read more

Assembly Design Rules Slowly Emerge


Process design kits (PDKs) play an essential in ensuring that silicon technology can proceed from one generation to the next in a manner that design tools can keep up with. No such infrastructure has been needed for packaging in the past, but that's beginning to change with advanced packages. Heterogeneous assemblies are still ramping up, but their benefits are attracting new designs. “Chi... » read more

Chip Industry Week In Review


The new Trump administration was quick to put a different stamp on the tech world: President Trump rescinded a long list of Biden’s executive orders, including those aimed at AI safety and the mandate for 50% EVs by 2030. Roughly 1.3 million EVs were sold in the U.S. in 2024, up 7.3% from 2023. The new administration announced $500 billion ($100 billion initially) in private sector in... » read more

Automotive OEMs Face Multiple Technology Adoption Challenges


Experts At The Table: The automotive ecosystem is in the midst of significant change. OEMs and tiered providers are grappling with how to deal with legacy technology while incorporating ever-increasing levels of autonomy, electrification, and software-defined vehicle concepts, just to name a few. Semiconductor Engineering sat down to discuss these and other related issues with Wayne Lyons, seni... » read more

Blog Review: Jan. 22


Cadence's David Shin provides an overview of the eUSB2V2 specification, which scales up to 4.8Gbps of data rate and provides the flexibility to configure either asymmetrical or symmetrical links depending on the intended application. Siemens EDA's Spencer Acain highlights the key role of AI in semiconductor testing, including the addition of analytical AI in DFT tools and how applying machin... » read more

Is Liquid Cooling The Future Of Your Data Center?


The data center industry is facing unprecedented challenges. With chip densities skyrocketing, high-performance computing is being pushed to its limits, all while energy costs are soaring and environmental concerns are escalating. Securing approvals for new data center facilities has become more complex, often plagued by community objections and grid supply issues. However, amidst these hurd... » read more

Power Budgets Optimized By Managing Glitch Power


“Waste not, want not,” says the old adage, and in general, that’s good advice to live by. But in the realm of chip design, wasting power is a fact of physics. Glitch power – power that gets expended due to delays in gates and/or wires – can account for up to 40% of the power budget in advanced applications like data center servers. Even in less high-powered circuits, such as those fou... » read more

2025: So Many Possibilities


The stage is set for a year of innovation in the chip industry, unlike anything seen for decades, but what makes this period of advancement truly unique is the need to focus on physics and real design skills. Planar scaling of SoCs enabled design and verification tools and methodologies to mature on a relatively linear path, but the last few years have created an environment for more radical... » read more

What’s The Best Way To Sell An Inference Engine?


The burgeoning AI market has seen innumerable startups funded on the strength of their ideas about building faster, lower-power, and/or lower-cost AI inference engines. Part of the go-to-market dynamic has involved deciding whether to offer a chip or IP — with some newcomers pivoting between chip and IP implementations of their ideas. The fact that some companies choose to sell chips while... » read more

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