The last decade has seen significant changes in processor architectures to improve computing performances and to overcome the physical limitations of increasing the clock frequency.

This allowed processors to still scale according to Moore's law. However, a new challenge is becoming relevant today: The ever increasing power and energy requirements for operating the latest generation of HPC systems are key factors in limiting the peek performances of newer HPC systems and might make Exascale computing unsustainable for both technical and economic reasons. 

A possible solution is to find disruptive technologies in terms of new hardware architectures and energy aware system software which maximize the performance of HPC systems within a given power or energy budget. 

For example, accelerators -- like GPUs, co-Processors, FPGAs -- and many-core low-power SoCs address this issue using different strategies.

The use of these is becoming more and more relevant in high performance computing. A challenge is a proper system design in order to be able to optimize the energy to solution and the time to solution for all applications running on the HPC system. Additionally, the interaction between the data center cooling infrastructure, the HPC system, the HPC system software -- including but not limited to scheduling systems, compilers, and run-time tools - and the running applications, have a great impact on the final power and energy efficiency of current and future HPC systems. 

The workshop aims to strongly encourage the exchange of experiences and knowledge in novel solutions for improving the power and energy efficiency of HPC systems, and their application in HPC data centers. It focuses on analyzing and assessing new trends for high performance architecture, accelerators, and related changes in application algorithm design able to minimize the power and energy requirements for current and future HPC systems. Additionally, the workshop will look at challenges and tools for integrating the new generation HPC systems with the data centers for improved power and energy efficiency.