CIO Influence
CIO Influence News IoT

Low-Power SoC Drives AI Vision Devices

Low-Power SoC Drives AI Vision Devices

The Katana edge SoC accelerates development of AI vision and sensor-fusion applications for the IoT.

Synaptics’ Katana platform drives AI-enhanced voice processing using proprietary neural-network-enabled hardware and algorithms to clearly discern and capture user voices and related commands in challenging environments. Its AI-enabled, far-field noise-suppression technology removes extraneous sounds associated with challenging environments, and audio clarity is maintained with a proprietary four-speaker, acoustic echo-cancellation algorithm.
PREDICTIONS SERIES 2024 - CIO Influence
Supporting all major automated speech-recognition engines, the Katana-based solution provides a high level of voice quality with high energy efficiency.

In the video above, Electronic Design’s Bill Wong talks with Syed Alam, the Global High Tech Industry Lead at Accenture, about the advent of chiplets and how they may help overcome the challenges with Moore’s Law. The article below goes into more detail about the technology.

For the past couple of decades, most semiconductor advances, capabilities, and innovations have happened on the front end. This technological progress has been accompanied by increasingly more complex designs and smaller geometries, currently culminating at the 3-nm process node. Lately, though, achieving Moore’s Law has become more challenging and costly, to the point where building a 5-nm chip is now more costly than building 10- and 7-nm chips combined.

As the benefits of scaling continue to decrease with each new node, chipmakers are turning back to a concept nearly a decade old: Rather than manufacture a chip on a single piece of silicon, they’re combining individual functional die, also known as “chiplets,” which might be the next frontier in achieving Moore’s Law and advanced manufacturing at scale.

CIO INFLUENCE News: The EdgeCore Digital Infrastructure Delivers Dense, Scalable, and Certain Execution

Top Architectures Involved in Chiplet Design

As previously mentioned, manufacturing a chip on a single piece of silicon (commonly referred to as systems-on-chips or SoCs) has led to skyrocketing costs. One path to achieve the same level of performance at a fraction of the cost is by combining chipsets with different functions. There are three mainstream architecture designs for compiling chiplets:

  1. Fan-out: Fan-out utilizes dice and redistribution layers to combine different chiplets. Fan-out isn’t as fast or power efficient as other architecture systems, but it’s more easily testable and therefore has a faster time-to-market.
  2. 2.5D: 2.5D packaging methodology uses an interposer for stacked inter-chiplet communication, leading to a higher communication rate. It can be paired with stacked memory modules to create high-performance modules. However, the interposers that enable 2.5D architecture are expensive relative to the other methods.
  3. 3D: 3D is the same general idea as 2.5D with chip stacking, but it involves stacking logic on logic chiplets with through silicon vias (TSVs) to yield the highest-performance chip designs.

[To share your insights with us, please write to sghosh@martechseries.com]

Related posts

Semarchy and D3Clarity Partner with Carahsoft to Deliver Comprehensive Data Management Solutions for Public Sector Agencies

PR Newswire

Cyxtera to Deliver On-Demand Infrastructure Solutions that Accelerate Customer Deployments

Business Wire

Tigera Releases The State of Cloud-Native Security Report, Revealing Key Challenges and Opportunities that Accompany the Rapid Adoption of Cloud-Native Applications

CIO Influence News Desk