PPT-Cloud Computing Paradigms for Pleasingly Parallel Biomedica

Thilina Gunarathne Tak Lon Wu Judy Qiu Geoffrey Fox School of Informatics Pervasive Technology Institute Indiana University Introduction Forth Paradigm Data intensive scientific discovery. Pleasingly Parallel Biomedical Applications Thi lina Gunarathne 1,2 , Tak - Lon Wu 1,2 , Judy Qiu 2 , Geoffrey Fox 1,2 1 School of Informatics and Computing, 2 Pervasive Technology Institute India ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . CloudCom. 2010. Indianapolis, Indiana, USA. Nov 30 – Dec 3, 2010. Azure . MapReduce. AzureMapReduce. A . MapRedue. runtime for Microsoft Azure using Azure cloud services. Azure Compute. Azure BLOB storage for in/out/intermediate data storage. Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Cyberinfrastructure Day. Salish Kootenai College, Pablo . MT. August 2 2011. Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. . Director, Digital Science Center, Pervasive Technology Institute. S Jha. 1. , J Qiu. 2. , A Luckow. 1. , P Mantha. 1. , Geoffrey Fox. 2. 1 . Rutgers http://radical.rutgers.edu. 2 . Indiana . . http. ://. www.infomall.org. http://. arxiv.org. /abs/1403.1528. on . Clouds. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Prof.Geoffrey. . Fox (gcf. @indiana.edu). Committee . : . Prof.Judy. . Qiu. , . Prof.Beth. . Plale. , . Prof.David. . Leake. Highly-parallel Accelerators. Marc . S. Orr. PhD Defense, . December . 5. , . 2016. Advisor: David A. Wood. Committee. : Brad Beckmann, Mark Hill, Nam . Sung Kim,. Karu. . Sankaralingam. , and Mike Swift. Cloud computing is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . Authors. : . Qiang. . Lu*, . You . Xu. †, . Ruoyun. Huang†, . Yixin. Chen† and . Guoliang. . Chen* from. *University . of Science and Technology of . China. †Washington . University in St. . Maddi . Enekoitz. LB1E. . Cloud Computing . sare. batera . konektatua. . dagoen. . serbidore. baten programa eta . zerbitzu. . multzoa. da. Internet . daukan. . edozein. . ordenagailutik. . , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is. Computing. Prof. . Dr. Andreas Polze. Hasso-Plattner-Institute for Software Engineering. at University Potsdam. CloudFutures Workshop, Redmond, April 8-9, 2010. Agenda. Towards Predictable Cloud Computing.