category: Embedded ML Design

category: IoT, Security & Automotive

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

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

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

Hybrid Architecture Blends Best Of Both Worlds
By Steve Roddy - 11 Apr, 2024 - Comments: 0

Quadric chose the brand name Chimera to describe the company’s novel general purpose neural processing unit (GPNPU) architecture. According to the online Oxford dictionary, in biology a chimera is “an organism containing a mixture of genetically different tissues (or DNA).” Quadric made that naming choice to reflect the fact that its Chimera GPNPU has characteristics of both conventiona... » read more

Embrace The New!
By Steve Roddy - 14 Mar, 2024 - Comments: 0

The ResNet family of machine learning algorithms was introduced to the AI world in 2015. A slew of variations was rapidly discovered that at the time pushed the accuracy of ResNets close to the 80% threshold (78.57% Top 1 accuracy for ResNet-152 on ImageNet). This state-of-the-art performance at the time, coupled with the rather simple operator structure that was readily amenable to hardware ac... » 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

Is Transformer Fever Fading?
By Steve Roddy - 11 Jan, 2024 - Comments: 0

The hottest, buzziest thing bursts onto the scene and captures the attention of the business press and even the general public. Scads of articles and videos are published about The Hot Thing. And then, in the blink of an eye, the world’s attention shifts to the Next New Thing! Are we talking about the latest pop song that leads the Spotify streaming charts? Perhaps a new fashion trend that... » read more

BYO NPU Benchmarks
By Steve Roddy - 14 Dec, 2023 - Comments: 0

In our last blog post, we highlighted the ways that NPU vendors can shade the truth about performance on benchmark networks such that comparing common performance scores such as “Resnet50 Inferences / Second” can be a futile exercise. But there is a straight-forward, low-investment method for an IP evaluator to short-circuit all the vendor shenanigans and get a solid apples-to-apples result... » read more

Does Your NPU Vendor Cheat On Benchmarks?
By Steve Roddy - 12 Oct, 2023 - Comments: 0

It is common industry practice for companies seeking to purchase semiconductor IP to begin the search by sending prospective vendors a list of questions, typically called an RFI (Request for Information) or simply a Vendor Spreadsheet. These spreadsheets contain a wide gamut of requested information ranging from background on the vendor’s financial status, leadership team, IP design practices... » read more

Your AI Chip Doesn’t Need An Expensive Insurance Policy
By Steve Roddy - 14 Sep, 2023 - Comments: 0

Imagine you are an architect designing a new SoC for an application that needs substantial machine learning inferencing horsepower. The team in marketing has given you a list of ML workloads and performance specs that you need to hit. The in-house designed NPU accelerator works well for these known workloads – things like MobileNet v2 and Resnet50. The accelerator speeds up 95+% of the comput... » read more

← Older posts

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2024 SMG   |  Terms of Service  |  Privacy Policy