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Cloud versus in-house cluster: evaluating amazon cluster compute instances for running mpi applications (2011)
| Content Provider | CiteSeerX |
|---|---|
| Author | Zhai, Yan Liu, Mingliang Zhai, Jidong Ma, Xiaosong Chen, Wenguang |
| Description | The emergence of cloud services brings new possibilities for constructing and using HPC platforms. However, while cloud services provide the flexibility and convenience of customized, pay-as-you-go parallel computing, multiple previous studies in the past three years have indicated that cloudbased clusters need a significant performance boost to become a competitive choice, especially for tightly coupled parallel applications. In this work, we examine the feasibility of running HPC applications in clouds. This study distinguishes itself from existing investigations in several ways: 1) We carry out a comprehensive examination of issues relevant to the HPC community, including performance, cost, user experience, and range of user activities. 2) We compare an Amazon |
| File Format | |
| Language | English |
| Publisher Date | 2011-01-01 |
| Publisher Institution | In SC ’11 |
| Access Restriction | Open |
| Subject Keyword | Hpc Application Pay-as-you-go Parallel Computing Significant Performance Boost Cloud Versus In-house Cluster Evaluating Amazon Cluster Compute Instance New Possibility Several Way Comprehensive Examination Competitive Choice User Experience Hpc Platform Hpc Community Previous Study Parallel Application Mpi Application User Activity Cloud Service |
| Content Type | Text |
| Resource Type | Article |
