Graph programming model: An efficient approach for sensor signal processing

Abstract

The HPC community has struggled to find a parallel programming model or language that can efficiently expose algorithmic parallelism in a sequential program and automate the implementation of a highly efficient parallel program. A plethora of parallel programming languages have been developed along with sophisticated compilers and runtimes, but none of these approaches have been successful enough to became a defacto standard. Graph Programming Model has the capability and efficiencies to become that ubiquitous standard for the signal processing domain.