Alireza Ghaffari

According to our database, Alireza Ghaffari authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

DR-PIFO: A Dynamic Ranking Packet Scheduler Using a Push-In-First-Out Queue.

Mostafa Elbediwy, Bill Pontikakis, Alireza Ghaffari, Jean-Pierre David, Yvon Savaria

IEEE Trans. Netw. Serv. Manag., February, 2024

Statistical Hardware Design With Multimodel Active Learning.

Alireza Ghaffari, Masoud Asgharian, Yvon Savaria

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

OAC: Output-adaptive Calibration for Accurate Post-training Quantization.

Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia

CoRR, 2024

AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs.

Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian

CoRR, 2024

Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models.

Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models.

Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia

SN Comput. Sci., September, 2023

Statistical Hardware Design With Multi-model Active Learning.

Alireza Ghaffari, Masoud Asgharian, Yvon Savaria

CoRR, 2023

On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats.

Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation.

Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Integer Fine-tuning of Transformer-based Models.

Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia

CoRR, 2022

Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks.

Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria

CoRR, 2022

Is Integer Arithmetic Enough for Deep Learning Training?

Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Efficient Design Space Exploration of OpenCL Kernels for FPGA Targets Using Black Box Optimization.

Alireza Ghaffari, Yvon Savaria

IEEE Access, 2021

2020

CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA.

Alireza Ghaffari, Yvon Savaria

CoRR, 2020

2019

Toward High-Performance Implementation of 5G SCMA Algorithms.

Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria

IEEE Access, 2019

2017

Improving performance of SCMA MPA decoders using estimation of conditional probabilities.

Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux

Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017