Architectural requirements and scalability of the NAS parallel benchmarks
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Cloud Computing: Principles, Systems and Applications
Cloud Computing: Principles, Systems and Applications
I/O performance of virtualized cloud environments
Proceedings of the second international workshop on Data intensive computing in the clouds
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High Performance Computing HPC applications are scientific applications that require significant CPU capabilities. They are also data-intensive applications requiring large data storage. While many researchers have examined the performance of Amazon's EC2 platform across some HPC benchmarks, an extensive study and their comparison between Amazon's EC2 and Microsoft's Windows Azure is largely missing with metrics such as memory bandwidth, I/O performance, and communication and computational performance. The purpose of this paper is to implement existing benchmarks to evaluate and analyze these metrics for EC2 and Windows Azure that span both Infrastructure-as-a-Service and Platform-as-a-Service types. This was accomplished by running MPI versions of STREAM, Interleaved or Random IOR and NAS Parallel NPB benchmarks on small and medium instance types. In addition a new EC2 medium instance type m1.medium was also included in the analysis. These benchmarks measure the memory bandwidth, I/O performance, communication and computational performance.