Paper Info
Title
A Model-Based Software Generation Approach Qualified for Heterogeneous GPGPU-Enabled Platforms.
Abstract
An approach for model-based programming is presented supporting automated software generation for Graphics Processing Units (GPUs). As General Purpose Computing on GPUs (GPGPU) has evolved from a very special niche of software technology to an established grade, it is ready now to be adressed from the perspective of automated software generation. This allows to achieve a more flexible, more reliable and faster development process. We present a software generation framework covering the complete design flow frommodel-based system specification to actual code for heterogeneous CPU and GPU platforms. Good mappings to highly parallel GPU architecture are achieved as inherent parallelism of signal processing algorithms is treated within code translation. First results will be given for an example design from the automotive driver assistance domain.
Year
DOI
Venue
2011
10.3233/978-1-61499-041-3-217
APPLICATIONS, TOOLS AND TECHNIQUES ON THE ROAD TO EXASCALE COMPUTING
Keywords
Field
DocType
Model-Based Programming,GPGPU,ECU Platform,GPU,In-vehicle Driver Assistance
Computer architecture,Computer science,Parallel computing,Software generation,General-purpose computing on graphics processing units,Operating system
Conference
Volume
ISSN
Citations 
22
0927-5452
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Holger Endt151.15
Lothar Stolz251.27
Martin Wechs3926.99
Walter Stechele436552.77