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Change Set: 11633
Released: Jan 19, 2012
Updated: Jan 20, 2012 by dinwal
Dev status: Alpha Help Icon

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Cloud computing is becoming mainstream for High Performance Computing (HPC) application development over the last few years. However, even though many vendors have rolled out their commercial cloud infrastructures, the service offerings are usually only best-effort based, without any performance guarantees. Cloud computing effectively saves the eScience developer the hassles of resource provisioning but utilization of these resources will be questionable if it can not meet the performance expectations of deployed applications. Furthermore, in order to make application design choices for a particular cloud offering, an eScience developer needs to understand the performance capabilities of the underlying cloud platform. Among all clouds, the emerging Azure cloud from Microsoft remains a challenge for HPC program development both due to lack of its support for traditional programming support such as MPI and mapreduce and due to its evolving APIs. To aid the HPC developers, we have created an open-source benchmark suite, AzureBench, for Windows Azure cloud platform.

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