Alireza Ghaffari

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Integer Arithmetic

Hardware Design

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
Statistical Hardware Design With Multimodel Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (2) (2024)
Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs. CoRR (2024)
Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR (2024)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. ICPRAM (2024)
Mostafa Elbediwy, Bill Pontikakis, Alireza Ghaffari, Jean-Pierre David, Yvon Savaria
DR-PIFO: A Dynamic Ranking Packet Scheduler Using a Push-In-First-Out Queue. IEEE Trans. Netw. Serv. Manag. 21 (1) (2024)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation. EACL (Findings) (2023)
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. CoRR (2023)
Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
Statistical Hardware Design With Multi-model Active Learning. CoRR (2023)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. CoRR (2023)
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats. ICPRAM (2023)
Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. 4 (5) (2023)
Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks. CoRR (2022)
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Is Integer Arithmetic Enough for Deep Learning Training? CoRR (2022)
Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR (2022)
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS (2022)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Integer Fine-tuning of Transformer-based Models. CoRR (2022)
Alireza Ghaffari, Yvon Savaria
Efficient Design Space Exploration of OpenCL Kernels for FPGA Targets Using Black Box Optimization. IEEE Access 9 (2021)
Alireza Ghaffari, Yvon Savaria
CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA. CoRR (2020)
Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria
Toward High-Performance Implementation of 5G SCMA Algorithms. IEEE Access 7 (2019)
Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux
Improving performance of SCMA MPA decoders using estimation of conditional probabilities. NEWCAS (2017)