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09/20/2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update
Classic Graph Neural Network (GNN) inference approaches, designed for st...
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09/19/2023
Flip: Data-Centric Edge CGRA Accelerator
Coarse-Grained Reconfigurable Arrays (CGRA) are promising edge accelerat...
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09/12/2023
Accelerating Edge AI with Morpher: An Integrated Design, Compilation and Simulation Framework for CGRAs
Coarse-Grained Reconfigurable Arrays (CGRAs) hold great promise as power...
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01/09/2022
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
Data-Free Knowledge Distillation (KD) allows knowledge transfer from a t...
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08/11/2021
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
With the increasing popularity of deep learning on edge devices, compres...
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03/04/2020
IsoRAN: Isolation and Scaling for 5G RANvia User-Level Data Plane Virtualization
5G presents a unique set of challenges for cellular network architecture...
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09/19/2019
Simultaneous Progressing Switching Protocols for Timing Predictable Real-Time Network-on-Chips
Many-core systems require inter-core communication, and network-on-chips...
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09/02/2019
KLEESPECTRE: Detecting Information Leakage through Speculative Cache Attacks via Symbolic Execution
Spectre attacks disclosed in early 2018 expose data leakage scenarios vi...
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08/24/2019
Neural Network Inference on Mobile SoCs
The ever-increasing demand from mobile Machine Learning (ML) application...
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03/14/2019
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
IoT Edge intelligence requires Convolutional Neural Network (CNN) infere...
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07/16/2018
oo7: Low-overhead Defense against Spectre Attacks via Binary Analysis
The Spectre vulnerability in modern processors has been reported earlier...
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07/16/2018
oo7: Low-overhead Defense against Spectre Attacks
The Spectre vulnerability in modern processors has been reported earlier...
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03/28/2018