Pushing The Limits Of Hardware-Assisted Verification


As semiconductor complexity continues to escalate, so does the reliance on hardware-assisted simulation, emulation, and prototyping. Since chip design first began, engineers have complained their design goals exceeded the capabilities of the tools. This is especially evident in verification and debug, which continue to dominate the design cycle. Big-iron tooling has enabled design teams to k... » read more

Scaling Simulation


Without functional simulation the semiconductor industry would not be where it is today, but some people in the industry contend it hasn't received the attention and research it deserves, causing a stagnation in performance. Others disagree, noting that design sizes have increased by orders of magnitude while design times have shrunk, pointing to simulation remaining a suitable tool for the job... » read more

One-On-One: Lip-Bu Tan


Lip-Bu Tan, CEO of Cadence, sat down with Semiconductor Engineering to talk about the impact of massive increases in data across a variety of industries, the growing need for computational software, and the potential implications of U.S.-China relations. What follows are excerpts of that discussion. SE: What do you see as the biggest change for the chip industry? Tan: We're in our fifth g... » read more

The Increasingly Uneven Race To 3nm/2nm


Several chipmakers and fabless design houses are racing against each other to develop processes and chips at the next logic nodes in 3nm and 2nm, but putting these technologies into mass production is proving both expensive and difficult. It's also beginning to raise questions about just how quickly those new nodes will be needed and why. Migrating to the next nodes does boost performance an... » read more

Demand, Lead Times Soar For 300mm Equipment


A surge in demand for various chips is causing select shortages and extended lead times for many types of 300mm semiconductor equipment, photomask tools, wafers, and other products. For the last several years, 200mm equipment has been in short supply in the market, but issues are now cropping up throughout the 300mm supply chain, as well. Traditionally, lead times have been three to six mont... » read more

Advanced Packaging’s Next Wave


Packaging houses are readying the next wave of advanced packages, enabling new system-level chip designs for a range of applications. These advanced packages involve a range of technologies, such as 2.5D/3D, chiplets, fan-out and system-in-package (SiP). Each of these, in turn, offers an array of options for assembling and integrating complex dies in an advanced package, providing chip custo... » read more

Power Optimization: What’s Next?


Concerns about the power consumed by semiconductors has been on the rise for the past couple of decades, but what can we expect to see coming in terms of analysis and automation from EDA companies, and is the industry ready to make the investment? Ever since Dennard scaling stopped providing automatic power gains by going to a smaller geometry, circa 2006, semiconductors have been increasing... » read more

11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

Is AI Good Or Bad For The Planet?


Will artificial intelligence save or sink planet earth? We’re surrounded by AI. When you use the internet, take a photo, use predictive text, or watch TV, you are interacting with AI. And we are still in the early stages of this revolution in technology and our lives. But AI can require large amounts of power. Researchers have documented the astounding amount of power required to train ... » read more

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing


A group of researchers are taking a different approach to AI. The University of California at San Diego, the University of California at Irvine, San Diego State University and DGIST recently presented a paper on a new hardware algorithm based on hyperdimensional (HD) computing, which is a brain-inspired computing model. The new algorithm, called HyperRec, uses data that is modeled with bina... » read more

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