Over the past years, power and energy consumption have become the driving metrics for the design of computing hardware including multicore CPUs and accelerators. Power-conscious designs also dominate large supercomputing installations as well as large industrial complexes devoted to cloud computing and big data analytics. With serious financial and environmental consequences, large scale computing community has to now cope with careful re-engineering of software to fit demanding power levels and tight energy envelopes.
This workshop will present research into new ways of addressing these pressing issues of energy preservation, power consumption, and heat dissipation while attaining best possible performance levels at the scale demanded by modern scientific challenges. We hope to provide a vibrant forum for exchanging ideas, methodologies, and insights into more sustainable computing solutions.
Topics of interest include, but not limited to, the following.
  • Power and energy consumption analysis, modeling, and evaluation of modern and emerging computer architectures and systems
  • Energy-conscious algorithms and applications
  • Software solutions, techniques, and paradigm for energy conservation
  • Optimization techniques that directly influence power consumption in computing, namely by using DPM/DVFS
  • Power and energy consumption simulation, optimization, management, and evaluation tools
  • Position papers and survey reports in the topic of power, energy, and head in large scale computing installations
Workshop on Power and Energy Aspects of Computation (PEAC) is co-located with the 11th International Conference on Parallel Processing and Applied Mathematics (PPAM) in Krakow, Poland.