Can Cheaper Lasers Handle Short Distances?


Optical technology is well established for long-haul communications, but the distances it serves are shrinking — especially in the data center. Vertical-cavity surface-emitting lasers (VCSELs) already drive short fiber links. But efforts are underway to further scale them down to provide more connections through waveguides than fiber can provide. “We have seen the transition from long... » read more

Chip Industry Week in Review


The U.S. government announced new import tariff actions and deals this week, including: The EU: 15% tariff on most goods including semiconductors. According to the EU's president, the action excludes semiconductor equipment. Copper: 50% tariff on all imports of semi-finished copper products and intensive copper derivative products, effective Aug. 1, but raw input material is excluded. ... » read more

For Chip Developers, HW/SW Co-Design Key To Data Center Efficiency


Data centers and high-performance computing (HPC) are the primary enablers of today’s power-hungry AI-driven technology, but chip designers, EDA vendors, and the data centers themselves have a long list of options available to them to help curb AI's power consumption. Chip designers play a critical role in ensuring energy efficient processing from the bottom up, whether that is hardware-so... » read more

STA Strategies For Fast And Efficient Signoff Performance For Multi-Billion Instance Designs


Contemporary AI, high-performance computing (HPC), mobile, and automotive designs continue to grow in size and complexity, putting a strain on the high-capacity compute required for static timing analysis (STA) workloads. Designs continue to grow at an unprecedented rate in size and complexity, outpacing the capacity of existing high-performance compute servers. A modern STA solution that can h... » read more

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

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