Mahdi Nazemi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Data Representations

Dimensionality Reduction

Top Venues

Publications

Arash Fayyazi, Mahdi Nazemi, Arya Fayyazi, Massoud Pedram
NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. ACM Great Lakes Symposium on VLSI (2024)
Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. DATE (2024)
Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram
Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. CoRR (2024)
Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram
Low-Precision Mixed-Computation Models for Inference on Edge. IEEE Trans. Very Large Scale Integr. Syst. 32 (8) (2024)
Jung Hwan Heo, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
A Fast Training-Free Compression Framework for Vision Transformers. CoRR (2023)
Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. DAC (2023)
Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. CoRR (2023)
Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. CoRR (2023)
Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram
Low-Precision Mixed-Computation Models for Inference on Edge. CoRR (2023)
Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. CoRR (2023)
Arash Fayyazi, Mahdi Nazemi, Armin Abdollahi, Massoud Pedram
BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. CoRR (2023)
Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. CoRR (2022)
Mahdi Nazemi, Hitarth Kanakia, Massoud Pedram
Heuristics for Million-scale Two-level Logic Minimization. ICCAD (2021)
Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. FCCM (2021)
Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram
DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. ASP-DAC (2021)
Mohammad Javad Dousti, Qing Xie, Mahdi Nazemi, Massoud Pedram
Therminator 2: A Fast Thermal Simulator for Portable Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (12) (2021)
Hitarth Kanakia, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization. DATE (2021)
Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. CoRR (2021)
Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel
Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks. IEEE Trans. Computers 69 (7) (2020)
Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks. CoRR (2020)
Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines. ACM Trans. Design Autom. Electr. Syst. 25 (1) (2020)
Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. ICCAD (2020)
Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. CoRR (2020)
Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. CoRR (2020)
Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
Energy-efficient, low-latency realization of neural networks through boolean logic minimization. ASP-DAC (2019)
Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines. CoRR (2019)
Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline. ASP-DAC (2019)
Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA. CoRR (2018)
Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA. ISQED (2018)
Mahdi Nazemi, Massoud Pedram
Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. CoRR (2018)
Mahdi Nazemi, Massoud Pedram
Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. ISLPED (2018)
Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference. CoRR (2018)
Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline. CoRR (2018)
Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram
FFT-based deep learning deployment in embedded systems. DATE (2018)
Mahdi Nazemi, Shahin Nazarian, Massoud Pedram
High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis. CoRR (2017)
Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram
FFT-Based Deep Learning Deployment in Embedded Systems. CoRR (2017)
Mahdi Nazemi, Shahin Nazarian, Massoud Pedram
High-performance FPGA implementation of equivariant adaptive separation via independence algorithm for Independent Component Analysis. ASAP (2017)
Mohammad Javad Dousti, Majid Ghasemi-Gol, Mahdi Nazemi, Massoud Pedram
ThermTap: An online power analyzer and thermal simulator for Android devices. ISLPED (2015)