Title :
SALSA Project: Parallel Data Mining of GIS, Web, Medical, Physics, Chemical, and Biology Data
Author :
Qiu, Xiaohong ; Fox, Geoffrey ; Bae, Seung-Hee ; Choi, Jong Youl ; Ekanayake, Jaliya ; Ruan, Yang
Author_Institution :
UITS, Indiana Univ., Bloomington, IN, USA
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 :
Internet; biology computing; chemistry computing; data analysis; data mining; physics computing; GIS; SALSA project; Web data; biology data; chemical data; medical data; multicore revolution; parallel data analysis; parallel data mining; physics data; Application software; Biology computing; Central Processing Unit; Chemicals; Data analysis; Data mining; Geographic Information Systems; Multicore processing; Physics; Software quality; Application; Benchmark; Data Mining; Multicore; Parallel;
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
DOI :
10.1109/eScience.2008.175
