Michael Oberg

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— While much high-performance computing is performed using massively parallel MPI applications, many work-flows execute jobs with a mix of processor counts. At the extreme end of the scale, some workloads consist of large quantities of single-processor jobs. These types of workflows lead to inefficient usage of massively parallel architectures such as the(More)
The University of Colorado (CU) and the National Center for Atmospheric Research (NCAR) have been deploying complimentary and federated resources supporting computational science in the Western United States since 2004. This activity has expanded to include other partners in the area, forming the basis for a broader Front Range Computing Consortium (FRCC).(More)
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