Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

A major challenge in modelling and simulation is the need to combine expertise in both
software technologies and a given scientific domain. When High-Performance Computing …

With energy efficiency becoming a major concern in the HPC community, low-power
alternatives such as heterogeneous Multi-Processor System-on-chip (MPSoC) are gaining …

Approximate computing techniques, where less-than-perfect solutions are acceptable,
present performance-accuracy trade-offs by performing inexact computations. Moreover …

Due to the ever changing characteristics of the newly provided hardware, there is the
permanent requirement of designing and re-designing software adequately to meet the …

Scientific application codes are often long-running time-and energy-consuming parallel
codes, and the tuning of these methods towards the characteristics of a specific hardware is …

Time-step** simulation methods offer potential for self-adaptivity, since the first time steps
of the simulation can be used to explore the hardware characteristics and measure which of …

Many applications from science and engineering can be simulated by time-step**
algorithms. Due to a possibly large number of simulation time steps and an expensive loop …