@inproceedings{67340dbde39747bcaa81a5604b0f84b2,
title = "A multi-threaded accelerated drug combination pathway network implementation",
abstract = "A Drug Combination Pathway Network is a new approach to predict the most efficient concentration ratio between two or more compounds. The state of the art implementation of the pathway network was introduced by Jiangyong and Wei, et al. in 2016. However, the time complexity of this implementation is O(CV3), where $V$ is the number of nodes in the network and $C$ is the number of concentrations. In this paper, we describes an approach that takes advantage of a multi-core CPU for calculating the result of the pathway network. The time complexity of our implementation is O(EV + $V$ 2ZogV) under PRAM model assuming C processors, where $E$ is the number of edges in the network. Experimental results on an AMD Ryzen{\texttrademark} 3900X CPU show performance improvement of more than 156 times faster than the original C++ implementation.",
keywords = "Drug Combination, Massive-Core CPU, Multi-Core CPU, Multi-Threaded, Parallel Processing, Pathway Network",
author = "Haolei Ye and Shu Liu and Wei Xiao and McCreath, {Eric C.} and Xinzhuang Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020 ; Conference date: 17-12-2020 Through 19-12-2020",
year = "2020",
month = dec,
doi = "10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00180",
language = "English",
series = "Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1214--1220",
editor = "Jia Hu and Geyong Min and Nektarios Georgalas and Zhiwei Zhao and Fei Hao and Wang Miao",
booktitle = "Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020",
address = "United States",
}