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Dec 21, 2020 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF]
Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020. |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
ZIP Archive - 1.2 GB -
MD5: ce4fc478984c26ed80a6c83abfb1bd8c
The_GAP8_SDK that contains the compiler and source codes |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
ZIP Archive - 2.0 MB -
MD5: 851043007b84fd2c2599ebd2485c71e1
The latex folder of the paper |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Adobe PDF - 2.3 MB -
MD5: 4a934600b747084740524d91df1c1909
The PPT for the conference |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Tabular Data - 19.2 KB - 17 Variables, 149 Observations - UNF:6:VrCPbjap40q9aQlCjvdQBA==
The performance of XOR-Net and competing methods. |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Tabular Data - 2.3 KB - 6 Variables, 60 Observations - UNF:6:xxq6bqFO6DSue3p5nX3/8Q==
The power consumption of XOR-Net and competing methods. |
