Search Results for author: Amirali Amirsoleimani

Found 5 papers, 2 papers with code

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation

1 code implementation13 May 2022 Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov

Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities.

Spike Sorting

PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators

no code implementations3 Feb 2022 Ali Alshaarawy, Amirali Amirsoleimani, Roman Genov

In this work, PRUNIX, a framework for training and pruning convolutional neural networks is proposed for deployment on memristor crossbar based accelerators.

Network Pruning Quantization

HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array

no code implementations27 Jan 2022 Jack Cai, Amirali Amirsoleimani, Roman Genov

We present a novel cryptography architecture based on memristor crossbar array, binary hypervectors, and neural network.

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures

no code implementations18 Jan 2022 Corey Lammie, Jason K. Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi

The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL) algorithms, but the degree of impact varies based on algorithmic features.


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