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Running blech_lab Codes on Jetson Nano

Overview

This repository contains instructions and scripts for setting up and running blech_lab codes on a Jetson Nano. The blech_lab suite includes various tools for neural data analysis, which are optimized here for the Jetson Nano’s ARM-based architecture and GPU capabilities.

Features

  • GPU Acceleration: Leverages the Jetson Nano's GPU for faster data processing and analysis.
  • ARM Compatibility: Tailored installation instructions for dependencies specific to ARM architecture.
  • Real-Time Processing: Optimized code for real-time neural data analysis on a compact and energy-efficient platform.

Getting Started

Prerequisites

  • Jetson Nano (4GB model)
  • Ubuntu 18.04 or 20.04 (ARM64 architecture)
  • Python 3.x
  • JetPack SDK installed on Jetson Nano

Required Dependencies

Before running blech_lab codes, ensure that the following dependencies are installed:

  • numpy
  • pandas
  • matplotlib
  • scipy
  • tensorflow or pytorch (with GPU support)
  • jetson-stats (optional, for monitoring system performance)

You can install these dependencies using the following command:

sudo apt-get update
sudo apt-get install python3-pip python3-dev
pip3