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HDPU Enables Neural Decisions at Sensor on FPGA

Original title: Hardwired Distributed Processing Units for Inference: Neural Decisions at the Sensor that Free the Host

arXiv cs.AI / cs.LG / cs.CLby Raj Mali ()1 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The HDPU processes frames on Artix-7 FPGA and spares the host all inference.

A hardwired distributed processing unit (HDPU) decides on every camera frame in a fixed 34.04 ms on an Artix-7 FPGA. It returns the same scores as its bit-exact software model on 639 test images using only 1,814 LUTs. When deciding, 95.7% of answers on street photographs are correct and it cuts host load by 8.13 ms per frame.

Key facts
  • HDPU runs in 34.04 ms per frame on Artix-7 FPGA
  • Uses 1,814 LUTs with no processor or OS
  • 95.7% accuracy when deciding on street photos
  • Spares host 8.13 ms inference per frame
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From the original article

1 min read at arxiv.org

We show that a hardwired distributed processing unit (HDPU) can take a neural decision at the sensor and so remove the inference from the host. Built for zebra-crossing detection on a low-cost Artix-7 FPGA, the unit decides on every camera frame in a fixed 2,269,477 clock cycles (34. 04 ms depends upon Fpga clk ), inside the 37.

arXiv cs.AI / cs.LG / cs.CL

By Raj Mali · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.