Week In Review: Semiconductor Manufacturing, Test


The CHIPS for America team at the U.S. Department of Commerce named the selection committee who will select board members for the nonprofit entity that will likely be managing the National Semiconductor Technology Center (NSTC). Members include John Hennessy, chairman of Alphabet; Jason Matheny, president and CEO of the RAND Corporation; Don Rosenberg, fellow in residence at UCSD’s School of ... » read more

A Buyers Guide To An NPU


Choosing the right AI inference NPU (Neural Processing Unit) is a critical decision for a chip architect. There’s a lot at stake because as the AI landscape constantly changes, the choices will impact overall product cost, performance, and long-term viability. There are myriad options regarding system architecture and IP suppliers, and this can be daunting for even the most seasoned semicondu... » read more

Heterogeneous Integration — Chiplets


Chiplets are a hot topic in the semiconductor industry, and to many, represent a paradigm change for chip designers and chip consumers alike. While heterogenous chiplets seem to have multiple advantages over traditional monolithic silicon and even homogenous chiplets, they still have not been mass-market deployed. This white paper, published in cooperation with the Global Semiconductor Alliance... » read more

Chiplet Planning Kicks Into High Gear


Chiplets are beginning to impact chip design, even though they are not yet mainstream and no commercial marketplace exists for this kind of hardened IP. There are ongoing discussions about silicon lifecycle management, the best way to characterize and connect these devices, and how to deal with such issues as uneven aging and thermal mismatch. In addition, a big effort is underway to improve... » read more

An Ideal Always-Sensing Subsystem Architecture


Always-sensing cameras are a relatively new method for users to interact with their smartphones, home appliances, and other consumer devices. Like always-listening audio-based Siri and Alexa, always-sensing cameras enable a seamless, more natural user experience. Through continuous sampling and analyzing visual data, always-sensing enables use cases such as: “Find a face” detection for... » read more

Architectural Considerations For Compute-In-Memory In AI Inference


Can Compute-in-Memory (CIM) bring new benefits to AI (Artificial Intelligence) inference? CIM is not an AI solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution. To read more, click here. » read more

Chips Getting More Secure, But Not Quickly Enough


Experts at the Table: Semiconductor Engineering sat down to talk about the impact of heterogeneous integration, more advanced RISC-V designs, and a growing awareness of security threats, with Mike Borza, Synopsys scientist; John Hallman, product manager for trust and security at Siemens EDA; Pete Hardee, group director for product management at Cadence; Paul Karazuba, vice president of marketin... » read more

Data Leakage Becoming Bigger Issue For Chipmakers


Data leakage is becoming more difficult to stop or even trace as chips become increasingly complex and heterogeneous, and as more data is stored and utilized by chipmakers for other designs. Unlike a cyberattack, which typically is done for a specific purpose, such as collecting private data or holding a system ransom, data leaks can spring up anywhere. And as the value of data increases, th... » read more

AI Adoption Slow For Design Tools


A lot of excitement, and a fair amount of hype, surrounds what artificial intelligence (AI) can do for the EDA industry. But many challenges must be overcome before AI can start designing, verifying, and implementing chips for us. Should AI replace the algorithms in use today, or does it have a different role to play? At the end of the day, AI is a technique that has strengths and weaknesses... » read more

Can Compute-In-Memory Bring New Benefits To Artificial Intelligence Inference?


Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution. However, for that to be successful, an AI processing system would need to be explicitly architected to use CIM. The change would entail a shift ... » read more

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