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Multi-MXA Python Examples

Setup

Before cloning this repo, make sure you have git-lfs installed. If not, run sudo apt install git-lfs.

Create a new python venv if you don't already have one for the MemryX SDK, e.g.

python3 -m venv ~/mx

Then activate it, update pip, and install the requirements:

. ~/mx/bin/activate
pip install --upgrade pip wheel
pip install -r requirements.txt

You're all set to try the examples!

Usage

Please see the individual example READMEs, and try out the examples in the recommended order.


  1. separate processes: example usage of completely separate Python applications

  2. combined: single process that runs the input stream in 2 different DFPs on 2 different MXAs

  3. load-balancing: run an input stream across all 4 connected MXAs to increase total throughput

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Three simple use cases for multi-MXA in Python

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