Speed Read

This is the github page for the results and code to reproduce the results for:

Counting Cards: Exploiting Weight and Variance Distributions for Robust Compute In-Memory
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics

This tool has evolved to support different readout algorithms and system level allocation policies.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

What things you need to install the software and how to install them

Python 3
gcc
g++

git clone https://github.com/bcrafton/speed_read

cd speed_read/
python tb.py

I run parallel tests with 8 threads, but this can be configured for more if you have them.

Georgia Institute of Technology, ICSRL (http://icsrl.ece.gatech.edu/)

This project is licensed under the MIT License - see the LICENSE.md file for details