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Scientists who conduct mid-range computationally heavy modeling and analysis often scramble to find sufficient computational resources to test and run their codes. The science they carry out is not petascale or even terascale science but the computational needs often go beyond what can be satisfied by their university. With the maturation of Grid computing facilities and recent explosion of cloud computing data centers, mid-scale computational science has more options to satisfy computational needs. This paper focuses on a simple abstraction for interaction with heterogeneous resource managers spanning grid and cloud computing, and on features that make the tool useful for the midscale physical or natural scientist.
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