フォロー
MohammadHossein AskariHemmat
MohammadHossein AskariHemmat
確認したメール アドレス: polymtl.ca - ホームページ
タイトル
引用先
引用先
U-Net Fixed-Point Quantization for Medical Image Segmentation
MH AskariHemmat, S Honari, L Rouhier, CS Perone, J Cohen-Adad, ...
ISBI, 2019
322019
RISC-V barrel processor for deep neural network acceleration
MH AskariHemmat, O Bilaniuk, S Wagner, Y Savaria, JP David
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
92021
BARVINN: Arbitrary precision DNN accelerator controlled by a RISC-V CPU
M Askarihemmat, S Wagner, O Bilaniuk, Y Hariri, Y Savaria, JP David
Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023
82023
Towards code generation for ARM Cortex-M MCUs from SysML activity diagrams
MH AskariHemmat, OA Mohamed, M Boukadoum
ISCAS - Interna- tional Symposium on Circuits and Systems, 2016
82016
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization
A Sankaran, O Mastropietro, E Saboori, Y Idris, D Sawyer, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15166 …, 2021
7*2021
Quark: An integer RISC-V vector processor for sub-byte quantized DNN inference
MH AskariHemmat, T Dupuis, Y Fournier, N El Zarif, M Cavalcante, ...
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023
52023
Accelerating deep learning model inference on arm cpus with ultra-low bit quantization and runtime
S Ashfaq, MH AskariHemmat, S Sah, E Saboori, O Mastropietro, ...
arXiv preprint arXiv:2207.08820, 2022
52022
System and Method for Automated Precision Configuration for Deep Neural Networks
E Saboori, DM Sawyer, M Askarihemmat, O Mastropietro
US Patent App. 17/250,928, 2021
42021
Formal modeling, verification and implementation of a train control system
MH AskariHemmat, OA Mohamed, M Boukadoum
2015 27th International Conference on Microelectronics (ICM), 134-137, 2015
32015
Duplication avoidance for energy efficient wireless sensor networks
A Mahani, MH AskariHemmat, YS Kavian
2012 8th International Symposium on Communication Systems, Networks …, 2012
32012
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference
T Dupuis, Y Fournier, MH AskariHemmat, N El Zarif, F Leduc-Primeau, ...
2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), 1-5, 2023
22023
QReg: On regularization effects of quantization
MH AskariHemmat, RA Hemmat, A Hoffman, I Lazarevich, E Saboori, ...
arXiv preprint arXiv:2206.12372, 2022
22022
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables
DC Ganji, S Ashfaq, E Saboori, S Sah, S Mitra, M Askarihemmat, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
RISC-V Barrel Processor for Accelerator Control
MH AskariHemmat, O Bilaniuk, S Wagner, Y Savaria, JP David
Annual International Symposium on Field-Programmable Custom Computing …, 2020
12020
Model to code generation of UML/SysML activity diagrams for ARM CortexM MCUs
MH AskariHemmat
Concordia University, 2015
12015
Automatic mapping of AF3 specifications to ARM cortex-M based FRDM platfrom
MH AskariHemmat, OA Mohamed, M Boukadoum
2014 26th International Conference on Microelectronics (ICM), 232-235, 2014
12014
QGen: On the Ability to Generalize in Quantization Aware Training
MH AskariHemmat, A Jeddi, RA Hemmat, I Lazarevich, A Hoffman, S Sah, ...
arXiv preprint arXiv:2404.11769, 2024
2024
DeepliteRT: Computer Vision at the Edge
S Ashfaq, A Hoffman, S Mitra, S Sah, MH AskariHemmat, E Saboori
arXiv preprint arXiv:2309.10878, 2023
2023
System and Method for Automated Design Space Determination for Deep Neural Networks
E Saboori, DM Sawyer, M Askarihemmat, O Mastropietro
US Patent App. 17/250,926, 2022
2022
Système et procédé de configuration automatisée de précision pour réseaux neuronaux profonds
E SABOORI, DM SAWYER, M ASKARIHEMMAT, O MASTROPIETRO
WO Patent 2,020,102,888, 2020
2020
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