Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A multi-threaded accelerated drug combination pathway network implementation

Loading...
Thumbnail Image

Date

Authors

Ye, Haolei
Liu, Shu
Xiao, Wei
McCreath, Eric C.
Zhang, Xinzhuang

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Access Statement

Research Projects

Organizational Units

Journal Issue

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™ 3900X CPU show performance improvement of more than 156 times faster than the original C++ implementation.

Description

Citation

Source

Book Title

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

Entity type

Publication

Access Statement

License Rights

Restricted until

abcd