Analyzing Performance and Efficiency of HPC Applications in the Cloud
نویسندگان
چکیده
Elasticity is a key feature of cloud computing in which the resources can be dynamically changed on-the-fly. In the HPC scenario, a user may want to adjust the resources availability to increase performance. A way to measure performance and efficiency of parallel applications with fixed number of resources is the speedup metric. However this metric does not apply to elastic cloud infrastructures. Thus, this paper proposes new metrics to evaluate performance and efficiency of iterative parallel applications on the cloud. Results show a relationship between performance and efficiency.
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