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HYDRA: A Hybrid Resistance Drift Resilient Architecture for Phase Change Memory-Based Neural Network Accelerators
HYDRA: A Hybrid Resistance Drift Resilient Architecture for Phase Change Memory-Based Neural Network Accelerators
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HYDRA: A Hybrid Resistance Drift Resilient Architecture for Phase Change Memory-Based Neural Network Accelerators

Nguyen, Thai-Hoang ; Imran, Muhammad ; Choi, Jaehyuk ; Yang, Joon-Sung

IEEE transactions on computers, 2024-09, Vol.73 (9), p.2123-2135 [Periódico revisado por pares]

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EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators
EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators
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EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators

Orosa, Lois ; Koppula, Skanda ; Umuroglu, Yaman ; Kanellopoulos, Konstantinos ; Gomez-Luna, Juan ; Blott, Michaela ; Vissers, Kees ; Mutlu, Onur

IEEE transactions on computers, 2024-09, Vol.73 (9), p.2275-2289 [Periódico revisado por pares]

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TOP: Towards Open & Predictable Heterogeneous SoCs
TOP: Towards Open & Predictable Heterogeneous SoCs
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TOP: Towards Open & Predictable Heterogeneous SoCs

Valente, Luca ; Restuccia, Francesco ; Rossi, Davide ; Kastner, Ryan ; Benini, Luca

IEEE transactions on computers, 2024-08, p.1-14 [Periódico revisado por pares]

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Edge-MPQ: Layer-Wise Mixed-Precision Quantization with Tightly Integrated Versatile Inference Units for Edge Computing
Edge-MPQ: Layer-Wise Mixed-Precision Quantization with Tightly Integrated Versatile Inference Units for Edge Computing
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Edge-MPQ: Layer-Wise Mixed-Precision Quantization with Tightly Integrated Versatile Inference Units for Edge Computing

Zhao, Xiaotian ; Xu, Ruge ; Gao, Yimin ; Verma, Vaibhav ; Stan, Mircea R. ; Guo, Xinfei

IEEE transactions on computers, 2024-08, p.1-14 [Periódico revisado por pares]

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5
Automatic Generation and Optimization Framework of NoC-Based Neural Network Accelerator Through Reinforcement Learning
Automatic Generation and Optimization Framework of NoC-Based Neural Network Accelerator Through Reinforcement Learning
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Automatic Generation and Optimization Framework of NoC-Based Neural Network Accelerator Through Reinforcement Learning

Xue, Yongqi ; Ji, Jinlun ; Yu, Xinming ; Zhou, Shize ; Li, Siyue ; Li, Xinyi ; Cheng, Tong ; Li, Shiping ; Chen, Kai ; Lu, Zhonghai ; Li, Li ; Fu, Yuxiang

IEEE transactions on computers, 2024-08, p.1-14 [Periódico revisado por pares]

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Revocable and Efficient Blockchain-Based Fine-Grained Access Control Against EDoS Attacks in Cloud Storage
Revocable and Efficient Blockchain-Based Fine-Grained Access Control Against EDoS Attacks in Cloud Storage
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Revocable and Efficient Blockchain-Based Fine-Grained Access Control Against EDoS Attacks in Cloud Storage

Zhang, Qingyang ; Xu, Chang ; Zhong, Hong ; Gu, Chengjie ; Cui, Jie

IEEE transactions on computers, 2024-08, Vol.73 (8), p.2012-2024 [Periódico revisado por pares]

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7
Ada-WL: An Adaptive Wear-Leveling Aware Data Migration Approach for Flexible SSD Array Scaling in Clusters
Ada-WL: An Adaptive Wear-Leveling Aware Data Migration Approach for Flexible SSD Array Scaling in Clusters
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Ada-WL: An Adaptive Wear-Leveling Aware Data Migration Approach for Flexible SSD Array Scaling in Clusters

Gu, Yunfei ; Liu, Linhui ; Wu, Chentao ; Li, Jie ; Guo, Minyi

IEEE transactions on computers, 2024-08, Vol.73 (8), p.1967-1982 [Periódico revisado por pares]

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BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework
BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework
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BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework

Zeng, Honghong ; Li, Jie ; Lou, Jiong ; Yuan, Shijing ; Wu, Chentao ; Zhao, Wei ; Wu, Sijin ; Wang, Zhiwen

IEEE transactions on computers, 2024-08, Vol.73 (8), p.2096-2110 [Periódico revisado por pares]

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9
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators
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Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators

Das, Abhijit ; Russo, Enrico ; Palesi, Maurizio

IEEE transactions on computers, 2024-08, Vol.73 (8), p.1883-1898 [Periódico revisado por pares]

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10
AQA: An Adaptive Post-Training Quantization Method for Activations of CNNs
AQA: An Adaptive Post-Training Quantization Method for Activations of CNNs
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AQA: An Adaptive Post-Training Quantization Method for Activations of CNNs

Wang, Yun ; Liu, Qiang

IEEE transactions on computers, 2024-08, Vol.73 (8), p.2025-2035 [Periódico revisado por pares]

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