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Amirhossein Esmaili
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Journal Articles
- 2020
- [j1]Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines. ACM Trans. Design Autom. Electr. Syst. 25(1): 11:1-11:21 (2020)
Conference and Workshop Papers
- 2023
- [c9]Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. DAC 2023: 1-6 - 2022
- [c8]Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. ISLPED 2022: 3:1-3:6 - 2021
- [c7]Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram:
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. FCCM 2021: 266-267 - 2020
- [c6]Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram:
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. ICCAD 2020: 89:1-89:9 - [c5]Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
HIPE-MAGIC: a technology-aware synthesis and mapping flow for highly parallel execution of memristor-aided LoGIC. ISLPED 2020: 235-240 - [c4]Amirhossein Esmaili, Massoud Pedram:
Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning. ISQED 2020: 426-431 - 2019
- [c3]Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline. ASP-DAC 2019: 532-537 - [c2]Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. ISLPED 2019: 1-6 - [c1]Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. ISQED 2019: 14-19
Informal and Other Publications
- 2023
- [i11]Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. CoRR abs/2304.06299 (2023) - [i10]Aupam Hamran, Marzieh Vaeztourshizi, Amirhossein Esmaili, Massoud Pedram:
Brain Tumor Detection using Convolutional Neural Networks with Skip Connections. CoRR abs/2307.07503 (2023) - 2022
- [i9]Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. CoRR abs/2207.00068 (2022) - 2021
- [i8]Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram:
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. CoRR abs/2104.05421 (2021) - 2020
- [i7]Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC. CoRR abs/2006.03269 (2020) - [i6]Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram:
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. CoRR abs/2007.15222 (2020) - 2019
- [i5]Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. CoRR abs/1902.00147 (2019) - [i4]Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. CoRR abs/1902.01000 (2019) - [i3]Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines. CoRR abs/1905.04391 (2019) - [i2]Amirhossein Esmaili, Massoud Pedram:
Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning. CoRR abs/1912.05160 (2019) - 2018
- [i1]Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline. CoRR abs/1812.07723 (2018)
Coauthor Index
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