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Energy efficiency in high performance computing (HPC) will be critical to limit operating costs and carbon footprints in future supercomputing centers. Energy efficiency of a computation can be improved by reducing time to completion without a substantial increase in power drawn or by reducing power with a little increase in time to completion. We present an Adaptive Core-specific Runtime (ACR) that...
Power is increasingly the limiting factor in High Performance Computing (HPC). Growing core counts in each generation increase power and energy demands. In the future, strict power and energy budgets will be used to control the operating costs of supercomputer centers. Every node needs to use energy wisely. Energy efficiency can either be improved by taking less time or running at lower power. In...
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