MohammadHossein AskariHemmat

According to our database, MohammadHossein AskariHemmat authored at least 14 papers between 2014 and 2023.

Collaborative distances:

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

2023

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference.

Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria

Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference.

MohammadHossein AskariHemmat, Théo Dupuis, Yoan Fournier, Nizar El Zarif, Matheus A. Cavalcante, Matteo Perotti, Frank K. Gürkaynak, Luca Benini, François Leduc-Primeau, Yvon Savaria, Jean-Pierre David

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables.

Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DeepliteRT: Computer Vision at the Edge.

Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori

Proceedings of the 34th British Machine Vision Conference 2023, 2023

BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU.

Mohammadhossein Askarihemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime.

Saad Ashfaq, MohammadHossein AskariHemmat, Sudhakar Sah, Ehsan Saboori, Olivier Mastropietro, Alexander Hoffman

CoRR, 2022

QReg: On Regularization Effects of Quantization.

MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alexander Hoffman, Ivan Lazarevich, Ehsan Saboori, Olivier Mastropietro, Yvon Savaria, Jean-Pierre David

CoRR, 2022

2021

Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization.

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene

CoRR, 2021

RISC-V Barrel Processor for Deep Neural Network Acceleration.

MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization.

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

RISC-V Barrel Processor for Accelerator Control.

MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David

Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019

U-Net Fixed-Point Quantization for Medical Image Segmentation.

MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

2015

Formal modeling, verification and implementation of a train control system.

Mohammadhossein Askarihemmat, Otmane Aït Mohamed, Mounir Boukadoum

Proceedings of the 27th International Conference on Microelectronics, 2015

2014

Automatic mapping of AF3 specifications to ARM cortex-M based FRDM platfrom.

Mohammadhossein Askarihemmat, Otmane Aït Mohamed, Mounir Boukadoum

Proceedings of the 26th International Conference on Microelectronics, 2014