@inproceedings{ac4ecab2016d439e82414a96cfbaa7e1,
title = "SALSA project: Parallel data mining of GIS, web, medical, physics, chemical, and biology data",
abstract = "The multicore revolution promises potentially hundreds of cores in desktop computers. The ever increasing number of cores per chip will be accompanied by a pervasive data deluge whose size will probably increase even faster than CPU core count over the next few years. This suggests the importance of parallel data analysis and data mining applications with good multicore, cluster and grid performance. The SALSA project at Community Grid Lab of Indiana University is looking to revolutionize the way software is written in parallel for real applications that advance scientific discovery and improve the quality of people's life.",
keywords = "Application, Benchmark, Data mining, Multicore, Parallel",
author = "Xiaohong Qiu and Geoffrey Fox and Bae, {Seung Hee} and Choi, {Jong Youl} and Jaliya Ekanayake and Yang Ruan",
year = "2008",
doi = "10.1109/eScience.2008.175",
language = "English",
isbn = "9780769535357",
series = "Proceedings - 4th IEEE International Conference on eScience, eScience 2008",
pages = "335--336",
booktitle = "Proceedings - 4th IEEE International Conference on eScience, eScience 2008",
note = "4th IEEE International Conference on eScience, eScience 2008 ; Conference date: 07-12-2008 Through 12-12-2008",
}