Analyzing Energy-Time Tradeoff in Power Overprovisioned HPC Data Centers

Minimizing energy and power consumption of large scale data centers is one of the biggest challenges faced by the high performance computing community. In an overprovisioned data center, nodes are power capped to run below their Thermal Design Power (TDP) value and therefore, an overprovisioned data center has more nodes than a conventional data center with the same power budget. In this work, we study the energy versus time trade-off in a power overprovisioned HPC data center. We show that overprovisioning with the goal of maximizing performance can lead to excessive energy consumption. However, careful selection of configuration, that is number of nodes and power cap, can lead to significant savings in energy consumption with very small penalty on execution time of the application. We achieve up to 15\% savings in energy consumption with only 2.8\% increase in execution time as compared to a configuration that yields the best execution time.

@inproceedings{DBLP:conf/ipps/langer15,
  author    = {Akhil Langer and Harshit Dokania and Laxmikant V. Kale and Udatta S. Palekar},
  title     = {Analyzing Energy-Time Tradeoff in Power Overprovisioned HPC Data Centers},
  booktitle = {2015 {IEEE} International Parallel {\&} Distributed Processing
               Symposium Workshops, Hyderabad, India, May 25-29, 2015},
  year      = {2015}
}