Abstract
Chapter 6 showed the effects that CPU frequency tuning had on application energy and performance. In this chapter, we will evaluate the impact that tuning the network bandwidth has on energy and performance of real scientific computing applications running at large scale. This analysis will evaluate the impact on total node energy, in contrast to the CPU frequency tuning experiments that focused on CPU energy. These experiments provide further evidence that tuning components on large-scale High Performance Computing (HPC) platforms can result in significant energy savings.
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- 1.
4 rails \(= 1111 = 0\times\text{F}\), 3 rails (not used) \(= 0111 = 0\times7\), 2 rails \(= 0011 = 0\times3\), 1 rail \(= 0001 - 0\times1\).
References
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“PALLAS”, Intel, http://www.intel.com/cd/software/products/asmo-na/eng/cluster/mpi/219848.htm
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© 2013 James H. Laros III
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Laros III, J.H. et al. (2013). Network Bandwidth Tuning During Application Runtime. In: Energy-Efficient High Performance Computing. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4492-2_7
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DOI: https://doi.org/10.1007/978-1-4471-4492-2_7
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