A complete guide to building a systolic neural network inference engine with Zynq SoC. Google’s Tensor Processing Unit changed how the world thinks about AI hardware. At its heart, the TPU is not magic, it is a systolic array, a decades-old architecture repurposed for…
Running ML inference on an Artix-7 or Kintex FPGA without a hard processor using a MicroBlaze soft CPU to drive an hls4ml accelerator. Part 2 of 2 In Part 1, we trained a compact weather classifier, converted it to HLS…
Running ML inference on an Artix-7 or Kintex FPGA without a hard processor using a MicroBlaze soft CPU to drive an hls4ml accelerator. Part…
A practical guide for embedded engineers stepping into ML acceleration. Edge inference is having a moment for one simple reason: latency. If your model…