category: Low Power-High Performance

category: IoT, Security & Automotive

What Is A Chiplet, And Why Should You Care?
By Roberto Piacentini Filho - 15 Feb, 2024 - Comments: 0

Chiplets are a new way to build system-on-chips (SoCs) that can improve yields and reduce costs by more than 45%. It partitions the chip into discrete elements and connects them with a standardized interface, allowing designers to meet performance, efficiency, power, size, and cost challenges in the 5/6G, AI, and VR era. Unlike monolithic SoCs, chiplets enable an open ecosystem of modular co... » read more

Thanks For The Memories!
By Steve Roddy - 15 Feb, 2024 - Comments: 0

“I want to maximize the MAC count in my AI/ML accelerator block because the TOPs rating is what sells, but I need to cut back on memory to save cost,” said no successful chip designer, ever. Emphasis on “successful” in the above quote. It’s not a purely hypothetical quotation. We’ve heard it many times. Chip architects — or their marketing teams — try to squeeze as much brag-... » read more

Impact Of 3DHI On Aerospace And Government Applications
By Ian Land - 15 Feb, 2024 - Comments: 0

By Ian Land, Kenneth Larsen, and Rob Aitken With challenging size, weight, and power (SWaP) requirements, chip designs for aerospace, defense, and government applications are a unique breed. No surprise here, considering systems like satellites and submarines must operate reliably in the distinctly harsh environments of outer space and ocean depths, respectively. Given the SWaP criteria a... » read more

AI Tradeoffs At The Edge
By Ann Mutschler - 15 Feb, 2024 - Comments: 0

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

Re-architecting Hardware For Energy
By Brian Bailey - 15 Feb, 2024 - Comments: 0

A lot of effort has gone into the power optimization of a system based on the RTL created, but that represents a small fraction of the possible power and energy that could be saved. The industry's desire to move to denser systems is being constrained by heat, so there is an increasing focus on re-architecting systems to reduce the energy consumed per useful function performed. Making signifi... » read more

SRAM Scaling Issues, And What Comes Next
By Karen Heyman - 15 Feb, 2024 - Comments: 0

The inability of SRAM to scale has challenged power and performance goals forcing the design ecosystem to come up with strategies that range from hardware innovations to re-thinking design layouts. At the same time, despite the age of its initial design and its current scaling limitations, SRAM has become the workhorse memory for AI. SRAM, and its slightly younger cousin DRAM, have always co... » read more

IC Package Physical Design Best Practices
By Siemens EDA - 15 Feb, 2024 - Comments: 0

Historically IC package design has been a relatively simple task which allowed the die bumps to be fanned out on a package substrate to a floorplan geometry suitable for connecting to a printed circuit board (PCB). But today the industry is moving to disaggregation of traditional monolithic SoC functions into chiplets often interfaced with local high-speed memory to avoid silicon reticle limits... » read more

Memory’s Future Hinges On Reliability
By Karen Heyman - 14 Feb, 2024 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about the impact of power and heat on off-chip memory, and what can be done to optimize performance, with Frank Ferro, group director, product management at Cadence; Steven Woo, fellow and distinguished inventor at Rambus; Jongsin Yun, memory technologist at Siemens EDA; Randy White, memory solutions program manager at Keysight; a... » read more

An Empirical Comparison Of Optimizers For Quantum Machine Learning With SPSA-Based Gradients
By Fraunhofer IIS/EAS - 14 Feb, 2024 - Comments: 0

Variational quantum algorithms (VQAs) have attracted a lot of attention from the quantum computing community for the last few years. Their hybrid quantum-classical nature with relatively shallow quantum circuits makes them a promising platform for demonstrating the capabilities of noisy intermediate scale quantum (NISQ) devices. Although the classical machine learning community focuses on gradi... » read more

How To Build Computer Vision Solutions
By Arm - 14 Feb, 2024 - Comments: 0

Computer vision devices that can ‘see’ and act on visual information are bringing new efficiencies and functionalities to IoT. But with new opportunities come complexities. The specific features and functionality of smart vision use cases vary widely. Creating a system that catches defects on an assembly line requires different imaging, machine learning, and workloads compared to one ... » read more

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