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

fYear

2008

fDate

7-12 Dec. 2008

Firstpage

335

Lastpage

336

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/eScience.2008.175

Filename

4736783