DocumentCode
589957
Title
Graph programming model: An efficient approach for sensor signal processing
Author
Kirsch, S.
Author_Institution
Raytheon Space & Airborne Syst., El Segundo, CA, USA
fYear
2012
fDate
10-12 Sept. 2012
Firstpage
1
Lastpage
2
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;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Extreme Computing (HPEC), 2012 IEEE Conference on
Conference_Location
Waltham, MA
Print_ISBN
978-1-4673-1577-7
Type
conf
DOI
10.1109/HPEC.2012.6408662
Filename
6408662
Link To Document