From petascale to the pocket: Adaptively scaling parallel programs for mobile SoCs

Abstract

With resource-constrained mobile and embedded devices being outfitted with multicore processors, there exists a need to allow existing parallel programs to be scaled down to efficiently utilize these devices. We study the marriage of programming models originally designed for distributed-memory supercomputers with smaller scale parallel architectures that are shared-memory and generally resource-constrained.