Quantifying the energy cost of data movement in scientific applications

Abstract

In the exascale era, the energy cost of moving data across the memory hierarchy is expected to be two orders of magnitude higher than the cost of performing a double-precision floating point operation. Despite its importance, the energy cost of data movement in scientific applications has not be quantitatively evaluated even for current systems.