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ORCIDMohammadHossein AskariHemmat
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2020 – today
- 2024
[c12]Elisabeth Humblet, Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria:
MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks. MWSCAS 2024: 464-468- [i10]MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane Askari Hemmat, Ivan Lazarevich, Alexander Hoffman, Sudhakar Sah, Ehsan Saboori, Yvon Savaria, Jean-Pierre David:
QGen: On the Ability to Generalize in Quantization Aware Training. CoRR abs/2404.11769 (2024) - 2023
- [c11]Mohammadhossein Askarihemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David:
BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. ASP-DAC 2023: 483-489 - [c10]Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori:
DeepliteRT: Computer Vision at the Edge. BMVC 2023: 889-892 - [c9]Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon:
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CVPR Workshops 2023: 4656-4664 - [c8]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:
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. ISCAS 2023: 1-5 - [c7]Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria:
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. NEWCAS 2023: 1-5 - [i9]Mohammadhossein Askarihemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David:
BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. CoRR abs/2301.00290 (2023) - [i8]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:
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. CoRR abs/2302.05996 (2023) - [i7]Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon:
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CoRR abs/2304.09049 (2023) - [i6]Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria:
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. CoRR abs/2306.09905 (2023) - [i5]Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori:
DeepliteRT: Computer Vision at the Edge. CoRR abs/2309.10878 (2023) - 2022
- [i4]MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alexander Hoffman, Ivan Lazarevich, Ehsan Saboori, Olivier Mastropietro, Yvon Savaria, Jean-Pierre David:
QReg: On Regularization Effects of Quantization. CoRR abs/2206.12372 (2022) - [i3]Saad Ashfaq, MohammadHossein AskariHemmat, Sudhakar Sah, Ehsan Saboori, Olivier Mastropietro, Alexander Hoffman:
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime. CoRR abs/2207.08820 (2022) - 2021
- [c6]Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene:
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. AAAI 2021: 15166-15174 - [c5]MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David:
RISC-V Barrel Processor for Deep Neural Network Acceleration. ISCAS 2021: 1-5 - [i2]Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene:
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization. CoRR abs/2101.04073 (2021) - 2020
- [c4]MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David:
RISC-V Barrel Processor for Accelerator Control. FCCM 2020: 212
2010 – 2019
- 2019
- [c3]MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David:
U-Net Fixed-Point Quantization for Medical Image Segmentation. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 115-124 - [i1]MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David:
U-Net Fixed-Point Quantization for Medical Image Segmentation. CoRR abs/1908.01073 (2019) - 2015
- [c2]Mohammadhossein Askarihemmat, Otmane Aït Mohamed, Mounir Boukadoum:
Formal modeling, verification and implementation of a train control system. ICM 2015: 134-137 - 2014
- [c1]Mohammadhossein Askarihemmat, Otmane Aït Mohamed, Mounir Boukadoum:
Automatic mapping of AF3 specifications to ARM cortex-M based FRDM platfrom. ICM 2014: 232-235
Coauthor Index
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last updated on 2024-10-11 17:26 CEST by the dblp team
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