Distributed Shared Memory Programming in the Cloud

Author

Anbar, Ahmad ; Narayana, Vikram K. ; El-Ghazawi, Tarek

fYear

2012

fDate

13-16 May 2012

Firstpage

707

Lastpage

708

Abstract

Cloud computing is beginning to play a dominant role in scientific computing. However, there are still several challenges that need to be addressed, before data-intensive scientific applications make the transition to the cloud. Adoption of a distributed shared memory (DSM) programming paradigm will be one approach to ease the transition, through the use of Partitioned Global Address Space (PGAS) languages. This paper explores initial results from the adoption of a PGAS language, Unified Parallel C, in programming a representative private cloud based on Eucalyptus.

Keywords

C language; cloud computing; distributed programming; distributed shared memory systems; parallel languages; Eucalyptus; PGAS language; cloud computing; data-intensive scientific applications; distributed shared memory programming paradigm; partitioned global address space languages; private cloud; scientific computing; unified parallel C; Benchmark testing; Cloud computing; Educational institutions; Electronics packaging; Linux; Message systems; Programming; Cloud Computing; Distributed Shared Memory; HPC; PGAS; Parallel Programming; UPC;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on

Conference_Location

Ottawa, ON

Print_ISBN

978-1-4673-1395-7

Type

conf

DOI

10.1109/CCGrid.2012.48

Filename

6217494