Editorial: Special Issue on Extreme Scale Parallel Architectures and Systems

摘要

High-performance computing (HPC) has embarked into the Petascale era and efforts are already on-going towards further increasing the peak performance of supercomputing systems. The advancement of computing to the Exascale era is of paramount importance to computational science- including its domain-specific angles- for responding promptly to a variety of medical, environmental, societal, engineering and global sustainability open problems. In parallel, various lines of business across sectors are becoming increasingly dependent on gaining valuable insights out of processing large volumes of data. Current trends unveil an exponential rate of increase in the volume of available and meaningful to process data, e.g. as a result of the penetration of smart mobile devices into various facets of life and the installation of sensors/actuators and connectivity modules to a disparity of electronic end-points that generate continuous streams of data. And while supercomputing has traditionally focused on serving computational science problems, it is now clear that the technical requirements posed by large-scale data-science applications should also be embraced as a target throughout the design of Exascale computers.