@inproceedings{131a300fb190487b873a544b73d5499e,
title = "Distributed compilation system for high-speed software build processes",
abstract = "The idle time of personal computers has increased steadily due to the generalization of computer usage and cloud computing. Clustering research aims at utilizing idle computer resources for processing a variable workload on a large number of computers. The workload is processed continually despite the volatile status of the individual computer resources. This paper proposes a distributed compilation system for improving the processing speed of CPU-intensive software compilations. This significantly reduces the compilation time of mass sources by using the idle resources. We expect gains of up to 65\% compared to non-distributed compilation systems.",
keywords = "Distributed Compilation, Distributed Computing, Grid Computing, High-Performance Computing, High-Throughput Computing, Super Computing",
author = "Geunsik Lim and Minho Lee and Lahaye, \{R. J.W.E.\} and Eom, \{Young Ik\}",
year = "2014",
doi = "10.1109/BIGCOMP.2014.6741419",
language = "English",
isbn = "9781479939190",
series = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014",
publisher = "IEEE Computer Society",
pages = "116--120",
booktitle = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014",
note = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014 ; Conference date: 15-01-2014 Through 17-01-2014",
}