Mahdi Nazemi - RankMe

40 papers A* 1A 7Misc 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. DATE Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
2024	J	`jnl`	Low-Precision Mixed-Computation Models for Inference on Edge. IEEE Trans. Very Large Scale Integr. Syst. Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram
2024	—	`conf`	Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. ECCV Workshops (11) Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram
2024	J	`jnl`	Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. CoRR Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram
2024	—	`conf`	NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. ACM Great Lakes Symposium on VLSI Arash Fayyazi, Mahdi Nazemi, Arya Fayyazi, Massoud Pedram
2023	J	`jnl`	A Fast Training-Free Compression Framework for Vision Transformers. CoRR Jung Hwan Heo, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
2023	A*	`conf`	Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. DAC Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
2023	J	`jnl`	Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. CoRR Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
2023	J	`jnl`	BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. CoRR Arash Fayyazi, Mahdi Nazemi, Armin Abdollahi, Massoud Pedram
2023	J	`jnl`	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. Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
2023	J	`jnl`	Low-Precision Mixed-Computation Models for Inference on Edge. CoRR Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram
2023	J	`jnl`	SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. CoRR Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
2023	J	`jnl`	Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. CoRR Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
2022	J	`jnl`	Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. CoRR Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
2021	—	`conf`	DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. ASP-DAC Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram
2021	A	`conf`	ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization. DATE Hitarth Kanakia, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
2021	A	`conf`	Heuristics for Million-scale Two-level Logic Minimization. ICCAD Mahdi Nazemi, Hitarth Kanakia, Massoud Pedram
2021	Misc	`conf`	NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. FCCM Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram
2021	J	`jnl`	NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. CoRR Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram
2021	J	`jnl`	Therminator 2: A Fast Thermal Simulator for Portable Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohammad Javad Dousti, Qing Xie, Mahdi Nazemi, Massoud Pedram
2020	J	`jnl`	A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. CoRR Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram
2020	J	`jnl`	Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines. ACM Trans. Design Autom. Electr. Syst. Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
2020	J	`jnl`	Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks. IEEE Trans. Computers Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel
2020	J	`jnl`	Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks. CoRR Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel
2020	A	`conf`	SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. ICCAD Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram
2020	J	`jnl`	SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. CoRR Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram
2019	J	`jnl`	Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines. CoRR Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
2019	—	`conf`	Energy-efficient, low-latency realization of neural networks through boolean logic minimization. ASP-DAC Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
2019	—	`conf`	Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline. ASP-DAC Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
2018	J	`jnl`	A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA. CoRR Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
2018	—	`conf`	A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA. ISQED Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
2018	A	`conf`	Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. ISLPED Mahdi Nazemi, Massoud Pedram
2018	J	`jnl`	Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. CoRR Mahdi Nazemi, Massoud Pedram
2018	A	`conf`	FFT-based deep learning deployment in embedded systems. DATE Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram
2018	J	`jnl`	Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline. CoRR Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
2018	J	`jnl`	NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference. CoRR Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
2017	J	`jnl`	FFT-Based Deep Learning Deployment in Embedded Systems. CoRR Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram
2017	J	`jnl`	High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis. CoRR Mahdi Nazemi, Shahin Nazarian, Massoud Pedram
2017	—	`conf`	High-performance FPGA implementation of equivariant adaptive separation via independence algorithm for Independent Component Analysis. ASAP Mahdi Nazemi, Shahin Nazarian, Massoud Pedram
2015	A	`conf`	ThermTap: An online power analyzer and thermal simulator for Android devices. ISLPED Mohammad Javad Dousti, Majid Ghasemi-Gol, Mahdi Nazemi, Massoud Pedram