How AI Will Impact Chip Design And Designers


Experts at the Table: Semiconductor Engineering sat down to discuss the role and impact of AI in chip design with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at Synopsys; Sailesh Kumar, CEO of Baya Systems; Mehir Arora, head of engineering... » read more

When Standards Enable Chiplets


Semiconductor Engineering sat down and discussed the need for standards to enable an ecosystem for chiplets with Mark Kuemerle, vice president of technology for Marvell; Letizia Giuliano, vice president for product marketing and management at Alphawave Semi; Hee-Soo Lee, HSD segment lead for Keysight; Mick Posner, senior product group director for Cadence’s Compute Solutions Group; and Rob Kr... » read more

Blog Review: July 30


Siemens' John McMillan compares 2.5D and 3D-IC technologies and why choosing between them depends on the specific requirements of a product, such as power consumption, thermal constraints, form factor limitations, data bandwidth, and performance-per-watt targets. Cadence's Yeshavanth BN checks out changes in MIPI MPHY 6.0 that increase the data rate and improve the performance of next-genera... » read more

GPU Acceleration Of Rigorous Lithography Simulations


Producing modern semiconductor devices is an immensely challenging process. Successful execution entails advanced process nodes, novel device architectures, new materials, and many fabrication steps. One especially challenging area is lithography, in which light is sent through a photomask, passes through a projection system of lenses and mirrors, and strikes the substrate to create the device ... » read more

CMOS 2.0: Layered Logic For The Post-Nanosheet Era


The semiconductor industry has relied on a simple equation for more than five decades — shrink the transistor, pack more onto every wafer, and watch performance soar as costs plummet. While each new node delivered predictable gains in speed, power efficiency, and density, that formula is rapidly running out of steam. As transistors approach single-digit nanometer processes, manufacturing c... » read more

Machine Learning Tools Help Bridge Design-To-Manufacturing Gap


More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be manufacturable with an acceptable yield. A single layer now requires more process steps, and each of those entails more tunable parameters than ever before. To help manage design risk, foundries provide det... » read more

Blog Review: July 23


Synopsys' Vincent van der Leest and Mike Borza argue that hardware security is critical for providing the foundational trust, physical protection, and performance enhancements necessary to support software security and prevent leaks of sensitive data and cryptographic keys. Siemens' Shetha Nolke explains why stress matters so much in 3D-ICs and why evaluating it isn't as straightforward as i... » read more

Chiplet Ecosystem Slowly Emerges


Experts at the Table: Semiconductor Engineering sat down to discuss progress and remaining challenges for designing with chiplets with Mark Kuemerle, vice president of technology for Marvell; Letizia Giuliano, vice president for product marketing and management at Alphawave Semi; Hee-Soo Lee, HSD segment lead for Keysight; Mick Posner, senior product group director for Cadence’s Compute S... » read more

Crisis Ahead: Power Consumption In AI Data Centers


AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data centers are built, and much more efficient system, chip, and software architectures. The numbers are particularly striking for the United States and China, which are in a race to ramp up AI data ... » read more

Chip Industry Week in Review


The U.S. government will grant licenses to NVIDIA and AMD to again sell some AI chips — NVIDIA's H20 GPU and AMD's MI308 — to Chinese companies. TrendForce projects that the availability of NVIDIA chips, in particular, will create a surge in demand from Chinese AI firms and cloud service providers, and boost high-bandwidth memory (HBM) consumption. The move could raise China’s share of... » read more

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