Mahdi Nazemi

According to our database, Mahdi Nazemi authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Low-Precision Mixed-Computation Models for Inference on Edge.

Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram

IEEE Trans. Very Large Scale Integr. Syst., August, 2024

Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy.

Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram

CoRR, 2024

NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions.

Arash Fayyazi, Mahdi Nazemi, Arya Fayyazi, Massoud Pedram

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation.

Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis.

Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram

ACM Trans. Reconfigurable Technol. Syst., June, 2023

Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation.

Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram

CoRR, 2023

BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions.

Arash Fayyazi, Mahdi Nazemi, Armin Abdollahi, Massoud Pedram

CoRR, 2023

SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining.

Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram

CoRR, 2023

A Fast Training-Free Compression Framework for Vision Transformers.

Jung Hwan Heo, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram

CoRR, 2023

Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks.

Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2021

Therminator 2: A Fast Thermal Simulator for Portable Devices.

Mohammad Javad Dousti, Qing Xie, Mahdi Nazemi, Massoud Pedram

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Heuristics for Million-scale Two-level Logic Minimization.

Mahdi Nazemi, Hitarth Kanakia, Massoud Pedram

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic.

Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization.

Hitarth Kanakia, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs.

Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines.

Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram

ACM Trans. Design Autom. Electr. Syst., 2020

Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks.

Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel

IEEE Trans. Computers, 2020

A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs.

Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram

CoRR, 2020

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning.

Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Energy-efficient, low-latency realization of neural networks through boolean logic minimization.

Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline.

Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference.

Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram

CoRR, 2018

A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA.

Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications.

Mahdi Nazemi, Massoud Pedram

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

FFT-based deep learning deployment in embedded systems.

Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

High-performance FPGA implementation of equivariant adaptive separation via independence algorithm for Independent Component Analysis.

Mahdi Nazemi, Shahin Nazarian, Massoud Pedram

Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

2015

ThermTap: An online power analyzer and thermal simulator for Android devices.

Mohammad Javad Dousti, Majid Ghasemi-Gol, Mahdi Nazemi, Massoud Pedram

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015