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