Title :
Graph programming model: An efficient approach for sensor signal processing
Author_Institution :
Raytheon Space & Airborne Syst., El Segundo, CA, USA
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.
Keywords :
graph theory; parallel languages; parallel programming; program compilers; sensors; signal processing; HPC community; algorithmic parallelism; compilers; graph programming model; parallel programming languages; parallel programming model; sensor signal processing; sequential program; Data models; Hardware; Parallel processing; Program processors; Programming; Signal processing; Tiles; Data Flow Method; Graph; Parallel Programming; Parallelism Extraction; Portability; Scalabilitiy;
Conference_Titel :
High Performance Extreme Computing (HPEC), 2012 IEEE Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4673-1577-7
DOI :
10.1109/HPEC.2012.6408662