In high-performance computing (HPC) systems, resources are allocated to users according to configurable scheduling policies. Unfortunately, these policies often create resource fragments which reduce overall resource utilization. In this paper, we propose an HPC architecture which maximizes the resource utilization by allocating unused resource fragments for jobs which are malleable in the sense that these jobs can be created and terminated at any time without severe penalties. Hence, the whole HPC system can utilize almost 100% of its computing resources by filling its schedule with these malleable jobs. Malleable job computation can then be offered at a lower price for potential customers, allowing for multi-pricing schemes for the HPC system provider.
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