Intelligent Microsystems Lab

QuantizedLSTM

Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).

QuantizedSNNs

This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 2020) and "Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators" (ISCAS 2020).

SNNQuantPrune

Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"

Network_Analysis

Pytorch code to view the effectiveness of a neural network over time using the Henze-Penrose statistic and Fisher permutation test for means.

OTPE

slax

HeterogeneousQuantization

jax_squant

PTQ using SQuant paper in JAX

NVSim

NVSim - A performance, energy and area estimation tool for non-volatile memory (NVM)

slayerPytorch

Modified version of SLAYER including pruning and dropout techniques

timeloop

timeloop-quant

This version supports per-operand precision