Memory On Logic: The Good And Bad


The chip industry is progressing rapidly toward 3D-ICs, but a simpler step has been shown to provide gains equivalent to a whole node advancement — extracting distributed memories and placing them on top of logic. Memory on logic significantly reduces the distance between logic and directly associated memory. This can increase performance by 22% and reduce power by 36%, according to one re... » read more

Using AI/ML To Minimize IR Drop


IR drop is becoming a much bigger problem as technology nodes scale and more components are packed into advanced packages. This is partly a result of physics, but it's also the result of how the design flow is structured. In most cases, AI/ML can help. The underlying problem is that moving to advanced process nodes, and now 3D-ICs, is driving current densities higher, while the power envelop... » read more

Linear Drive Optics May Reduce Data Latency


Optical and electrical are starting to cross paths at a much deeper level, particularly with the growing focus on 3D-ICs and AI/ML training in data centers, driving changes both in how chips are designed and how these very different technologies are integrated together. At the root of this shift are the power and performance demands of AI/ML. It can now take several buildings of a data cente... » read more

The Challenges Of Working With Photonics


Experts at the Table: Semiconductor Engineering sat down to talk about where photonics is most useful — and most vulnerable — with James Pond, fellow at Ansys; Gilles Lamant, distinguished engineer at Cadence; and Mitch Heins, business development manager for photonic solutions at Synopsys. What follows are excerpts of that conversation. To view part one of this discussion, click here. ... » read more

Optimizing Energy At The System Level


Power is a ubiquitous concern, and it is impossible to optimize a system's energy consumption without considering the system as a whole. Tremendous strides have been made in the optimization of a hardware implementation, but that is no longer enough. The complete system must be optimized. There are far reaching implications to this, some of which are driving the path toward domain-specific c... » read more

Backside Power Delivery Adds New Thermal Concerns


As the semiconductor industry gears up for backside power delivery at the 2nm node, implementation of the technology requires a re-thinking of established design practices. While some EDA tools are already qualified, designers must acquaint themselves with new issues, including making place-and-route more thermal-aware and how to manage heat dissipation with less shielding and thinner substr... » read more

The Rising Price Of Power In Chips


Power is everything when it comes to processing and storing data, and much of it isn't good. Power-related issues, particularly heat, dominate chip and system designs today, and those issues are widening and multiplying. Transistor density has reached a point where these tiny digital switches are generating more heat than can be removed through traditional means. That may sound manageable e... » read more

Photonics: The Former And Future Solution


Experts at the Table: Semiconductor Engineering sat down to talk about where photonics is in the hype cycle and its secure role in data centers, with James Pond, fellow at Ansys; Gilles Lamant, distinguished engineer at Cadence; and Mitch Heins, business development manager for photonic solutions at Synopsys. What follows are excerpts of that conversation. [L-R]: Ansys’ Pond, Cadence�... » read more

Startup Funding: February 2024


A startup developing AI chips dedicated to low-power AI inferencing captured one of the largest rounds of February. The startup, Recogni, already offers a low-power vision inferencing chip. Several other sizeable rounds were focused on the automotive space, with robotaxis, autonomous delivery, and the sensors that enable them. Another active area, power electronics drew funding for several c... » read more

AI Tradeoffs At The Edge


AI is impacting almost every application area imaginable, but increasingly it is moving from the data center to the edge, where larger amounts of data need to be processed much more quickly than in the past. This has set off a scramble for massive improvements in performance much closer to the source of data, but with a familiar set of caveats — it must use very little power, be affordable... » read more

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