tag: Quadric

ConvNext Runs 28X Faster Than Fallback
By Steve Roddy - 22 Jul, 2024 - Comments: 0

Two months ago in our blog we highlighted the fallacy of using a conventional NPU accelerator paired with a DSP or CPU for “fallback” operations. (Fallback Fails Spectacularly, May 2024). In that blog we calculated what the expected performance would be for a system with a DSP needing to perform the new operations found in one of today’s leading new ML networks – ConvNext. The result wa... » read more

IC Power Optimization Required, But More Difficult To Achieve
By Adam Kovac - 18 Jul, 2024 - Comments: 0

Power optimization is playing an increasingly vital role in chip and chip and system designs, but it's also becoming much harder to achieve as transistor density and system complexity continue to grow. This is especially evident with advanced packages, chiplets, and high-performance chips, all of which are becoming more common in complex designs. Inside data centers, racks of servers are str... » read more

IC Industry’s Growing Role In Sustainability
By Ann Mutschler - 17 Jun, 2024 - Comments: 1

The massive power needs of AI systems are putting a spotlight on sustainability in the semiconductor ecosystem. The chip industry needs to be able to produce more efficient and lower-power semiconductors. But demands for increased processing speed are rising with the widespread use of large language models and the overall increase in the amount of data that needs to be processed. Gartner estima... » read more

KANs Explode!
By Steve Roddy - 13 Jun, 2024 - Comments: 0

In late April 2024, a novel AI research paper was published by researchers from MIT and CalTech proposing a fundamentally new approach to machine learning networks – the Kolmogorov Arnold Network – or KAN. In the six weeks since its publication, the AI research field is ablaze with excitement and speculation that KANs might be a breakthrough that dramatically alters the trajectory of AI mod... » read more

New Approaches Needed For Power Management
By Karen Heyman - 13 Jun, 2024 - Comments: 0

Power is becoming a bigger concern as the amount of data being processed continues to grow, forcing chipmakers and systems companies to rethink compute architectures from the end point all the way to the data center. There is no simple fix to this problem. More data is being collected, moved, and processed, requiring more power at every step, and more attention to physical effects such as he... » read more

When To Expect Domain-Specific AI Chips
By Brian Bailey - 13 Jun, 2024 - Comments: 0

The chip industry is moving toward domain-specific computation, while artificial intelligence (AI) is moving in the opposite direction, creating a gap that could force significant changes in how chips and systems are architected in the future. Behind this split is the amount of time it takes to design hardware and software. In the 18 months since ChatGPT was launched on the world, there has ... » read more

Will Domain-Specific ICs Become Ubiquitous?
By Brian Bailey - 16 May, 2024 - Comments: 0

Questions are surfacing for all types of design, ranging from small microcontrollers to leading-edge chips, over whether domain-specific design will become ubiquitous, or whether it will fall into the historic pattern of customization first, followed by lower-cost, general-purpose components. Custom hardware always has been a double-edged sword. It can provide a competitive edge for chipmake... » read more

Running More Efficient AI/ML Code With Neuromorphic Engines
By Karen Heyman - 16 May, 2024 - Comments: 0

Neuromorphic engineering is finally getting closer to market reality, propelled by the AI/ML-driven need for low-power, high-performance solutions. Whether current initiatives result in true neuromorphic devices, or whether devices will be inspired by neuromorphic concepts, remains to be seen. But academic and industry researchers continue to experiment in the hopes of achieving significant ... » read more

Power/Performance Costs In Chip Security
By Adam Kovac - 16 May, 2024 - Comments: 0

Hackers ranging from hobbyists to corporate spies and nation states are continually poking and prodding for weaknesses in data centers, cars, personal computers, and every other electronic device, resulting in a growing effort to build security into chips and electronic systems. The current estimate is that 60% of chips and systems have some type of security built in, and that percentage is ... » read more

Fallback Fails Spectacularly
By Steve Roddy - 16 May, 2024 - Comments: 0

Conventional AI/ML inference silicon designs employ a dedicated, hardwired matrix engine – typically called an “NPU” – paired with a legacy programmable processor – either a CPU, or DSP, or GPU. The common theory behind these two-core (or even three core) architectures is that most of the matrix-heavy machine learning workload runs on the dedicated accelerator for maximum efficienc... » read more

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