Chip Challenges In The Metaverse


The metaverse is pushing the limits of chip design, despite uncertainty about how much raw horsepower these devices ultimately will require to deliver an immersive blend of augmented, virtual, and mixed reality. The big challenge in developing these systems is the ability to process mixed data types in real time while the data moves uninterrupted at lightning speed. That requires the integra... » read more

SiPs: The Best Things in Small Packages


System-in-package (SiP) is quickly emerging as the package option of choice for a growing number of applications and markets, setting off a frenzy of activity around new materials, methodologies, and processes. SiP is an essential packaging platform that integrates multiple functionalities onto a single substrate, which enables lower system cost, design flexibility, and superior electrical p... » read more

Wafer Cleaning Becomes Key Challenge In Manufacturing 3D Structures


Wafer cleaning, once a rather mundane task as simple as dipping wafers in cleaning fluid, is emerging as one of the top major engineering challenges for manufacturing GAA FETs and 3D-ICs. With these new 3D structures — some on the horizon but some already in high-volume manufacturing — semiconductor wafer equipment and materials suppliers in the wet cleaning business are at the epicenter... » read more

What’s Different About Next-Gen Transistors


After nearly a decade and five major nodes, along with a slew of half-nodes, the semiconductor manufacturing industry will begin transitioning from finFETs to gate-all-around stacked nanosheet transistor architectures at the 3nm technology node. Relative to finFETs, nanosheet transistors deliver more drive current by increasing channel widths in the same circuit footprint. The gate-all-aroun... » read more

Bespoke Silicon Rattles Chip Design Ecosystem


Bespoke silicon developers are shaking up relationships, priorities, and methodologies across the semiconductor industry, creating demand for skills that cross traditional boundaries, and driving new business models that leverage these enormous investments. Bespoke silicon designers today are a rare breed, capable of understanding the unique requirements of a specific domain, as well as a gr... » read more

Complex Tradeoffs In Inferencing Chips


Designing AI/ML inferencing chips is emerging as a huge challenge due to the variety of applications and the highly specific power and performance needs for each of them. Put simply, one size does not fit all, and not all applications can afford a custom design. For example, in retail store tracking, it's acceptable to have a 5% or 10% margin of error for customers passing by a certain aisle... » read more

Foundational Changes In Chip Architectures


We take many things in the semiconductor world for granted, but what if some of the decisions made decades ago are no longer viable or optimal? We saw a small example with finFETs, where the planar transistor would no longer scale. Today we are facing several bigger disruptions that will have much larger ripple effects. Technology often progresses in a linear fashion. Each step provides incr... » read more

Designing A Better Clock Network


Laying the proper clock network architecture foundation makes all the difference for the best performance, power, and timing of a chip, particularly in advanced node SoCs packed with billions of transistors. Each transistor, which acts like a standard cell, needs a clock. An efficient clock network should ensure the switching transistors save power. In today’s advanced nodes, when a design... » read more

Dealing With Heat In Near-Memory Compute Architectures


The explosion in data forcing chipmakers to get much more granular about where logic and memory are placed on a die, how data is partitioned and prioritized to utilize those resources, and what the thermal impact will be if they are moved closer together on a die or in a package. For more than a decade, the industry has faced a basic problem — moving data can be more resource-intensive tha... » read more

Beyond Autonomous Cars


As the automotive industry takes a more measured approach to self-driving cars and long-haul trucks for safety and security reasons, there is a renewed focus on other types of vehicles utilizing autonomous technology. The list is long and growing. It now includes autonomous trains, helicopters, tractors, ships, submarines, drones, delivery robots, motorcycles, scooters, and bikes, all of whi... » read more

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