Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere-Ocean Climate Models on Amazon's EC2 Export

@inproceedings{citeulike:3523379, abstract = {In this article we describe the application of HPC standard benchmark tests to Amazon's EC2 cloud computing system, in order to explore the utility of EC2 for modest HPC style applications. Based on these benchmarks we find that the EC2 cloud system is emerging as a credible solution for supporting responsive on-demand, small sized, HPC applications. We illustrate this point with a demonstration of a low-order coupled atmosphere-ocean simulation running in parallel on an EC2 system. This demonstration highlights one significant way in which cloud computing could impact traditional HPC computing paradigms that, together with related ease-of-use technologies (described only briefly in this paper), could shift the manner in which many HPC systems are deployed.}, author = {Evangelinos, Constantinos and Hill, Chris N.}, citeulike-article-id = {3523379}, citeulike-linkout-0 = {http://www.cca08.org/speakers/evangelinos.php}, day = {22-23}, institution = {Massachusetts Institute of Technology}, keywords = {amazon, article, cloud, computing, mathematica}, location = {Chicago, IL}, month = {October}, organization = {Cloud Computing and Its Applications}, posted-at = {2008-11-16 19:11:39}, priority = {2}, title = {Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere-Ocean Climate Models on Amazon's EC2}, url = {http://www.cca08.org/speakers/evangelinos.php}, year = {2008} }

TY - CONF ID - citeulike:3523379 L3 - citeulike-article-id:3523379 N2 - In this article we describe the application of HPC standard benchmark tests to Amazon’s EC2 cloud computing system, in order to explore the utility of EC2 for modest HPC style applications. Based on these benchmarks we find that the EC2 cloud system is emerging as a credible solution for supporting responsive on-demand, small sized, HPC applications. We illustrate this point with a demonstration of a low-order coupled atmosphere-ocean simulation running in parallel on an EC2 system. This demonstration highlights one significant way in which cloud computing could impact traditional HPC computing paradigms that, together with related ease-of-use technologies (described only briefly in this paper), could shift the manner in which many HPC systems are deployed. CY - Chicago, IL OR - Cloud Computing and Its Applications TI - Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere-Ocean Climate Models on Amazon's EC2 KW - amazon KW - article KW - cloud KW - computing KW - mathematica AU - Evangelinos, Constantinos AU - Hill, Chris PY - 2008/10/22-23/ UR - http://www.cca08.org/speakers/evangelinos.php ER -