College of Computing and Data Science (CCDS)

This dataverse is a collection of the College of Computing and Data Science’s research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

4,961 to 4,970 of 5,197 Results

Tan Rui(Nanyang Technological University) Mar 31, 2021 Research topics: • Resilient CPS/IoT system functions (e.g., timing, synchronization, location, etc) • Low-power wide area networks • Thermal and energy control in data centers • Deep learning for sensing For more information, visit webpage
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices 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.
gap8.zip 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 Code The_GAP8_SDK that contains the compiler and source codes
ICPADS 2020 XOR-Net Latex.zip 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 Documentation The latex folder of the paper
ICPADS_2020_XOR-Net_PPT.pdf 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 Documentation The PPT for the conference
XOR-Net Performance Summary 2020-7-22.tab 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== Data The performance of XOR-Net and competing methods.
XOR-Net Power Curve 2020-7-22.tab 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== Data The power consumption of XOR-Net and competing methods.
Zhu Shien(Nanyang Technological University) Dec 21, 2020LIU Weichen
A directed Bitcoin subgraph with 209 nodes Oct 28, 2020 - Bitcoin Graph Analytics Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1 This file contains a list of edges, specified by two Bitcoin addresses.
subgraph1.txt Oct 28, 2020 - A directed Bitcoin subgraph with 209 nodes Plain Text - 18.2 KB - MD5: a26ea95b7c38e17e515bae5c5930a9da

Tan Rui(Nanyang Technological University)

Mar 31, 2021

Research topics: • Resilient CPS/IoT system functions (e.g., timing, synchronization, location, etc) • Low-power wide area networks • Thermal and energy control in data centers • Deep learning for sensing For more information, visit webpage

Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

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.

gap8.zip

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 -

Code

The_GAP8_SDK that contains the compiler and source codes

ICPADS 2020 XOR-Net Latex.zip

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 -

Documentation

The latex folder of the paper

ICPADS_2020_XOR-Net_PPT.pdf

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 -

Documentation

The PPT for the conference

XOR-Net Performance Summary 2020-7-22.tab

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 -

Data

The performance of XOR-Net and competing methods.

XOR-Net Power Curve 2020-7-22.tab

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 -

Data

The power consumption of XOR-Net and competing methods.

Zhu Shien(Nanyang Technological University)

Dec 21, 2020LIU Weichen

A directed Bitcoin subgraph with 209 nodes

Oct 28, 2020 - Bitcoin Graph Analytics

Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1

This file contains a list of edges, specified by two Bitcoin addresses.

subgraph1.txt

Oct 28, 2020 - A directed Bitcoin subgraph with 209 nodes

Plain Text - 18.2 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications