Cloud Computing for parallel Scientific HPC Applications: Feasibility of running Coupled Atmosphere-Ocean Climate Models
نویسندگان
چکیده
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.
منابع مشابه
Green Energy-aware task scheduling using the DVFS technique in Cloud Computing
Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...
متن کاملHigh-Performance Storage Support for Scientific Big Data Applications on the Cloud
This work studies the storage subsystem for scientific big data applications to be running on the cloud. Although cloud computing has become one of the most popular paradigms for executing data-intensive applications, the storage subsystem has not been optimized for scientific applications. In particular, many scientific applications were originally developed assuming a tightly-coupled cluster ...
متن کاملHpc Cloud Applied to Lattice Optimization∗
As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advance...
متن کاملThe effect of ocean dynamics in a coupled GCM simulation of the Last Glacial Maximum
General circulation models (GCMs) of the climate system are powerful tools for understanding and predicting climate and climate change. The last glacial maximum (LGM) provides an extreme test of the model’s ability to simulate a change of climate, and allows us to increase our understanding of mechanisms of climate change. We have used a coupled high resolution ocean–atmosphere GCM (HadCM3) to ...
متن کاملEarly Prediction of the Cost of Cloud Usage for HPC Applications
After a decade of diffusion, cloud computing has received wide acceptance, but it is not yet attractive for the HPC community. Clouds could be a cost-effective alternative to clusters and supercomputers, providing economy of scale, elasticity, flexibility, and easy customization. Unfortunately, most clouds are optimized for running business applications, not for HPC. However, they can be profit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008