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SIMD Visual Benchmark

This is a Topo Project and follows the Topo Project Specification.

Visual demonstration of SIMD performance benefits on Arm processors. Compare scalar (no SIMD), NEON (128-bit), and SVE (scalable vector) implementations running identical image processing workloads side-by-side.

It demonstrates:

  • Use of multi-stage docker builds with Topo
  • Running and profiling hardware acceleration features with a simple image box blur algorithm
  • An interactive web dashboard to run and view the benchmark results

To find out more about the project format, see the Topo Project Specification.

Usage

To use this project download and install topo from arm/topo

Clone the project:

topo clone git@github.com:Arm-Examples/topo-simd-visual-benchmark.git

The clone step will prompt you for values for the project parameters.

Build and Deploy the project:

cd topo-simd-visual-benchmark
topo deploy --target <ip-address-of-target>

What you will see

Once deployment completes, open a browser to http://<ip-address-of-target>:8095, click "Run" in the top right and you'll

screenshot of the webpage showing a greeting for Clark Kent

Acknowledgments

This project makes use of Arm's simd-loops project to perform the hardware-accelerated convolution.