@inproceedings{392a78a7fedb441498f9c0fc53a24610,
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 from model-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.",
keywords = "ECU Platform, GPGPU, GPU, In-vehicle Driver Assistance, Model-Based Programming",
author = "Holger Endt and Lothar Stolz and Martin Wechs and Walter Stechele",
year = "2012",
doi = "10.3233/978-1-61499-041-3-217",
language = "English",
isbn = "9781614990406",
series = "Advances in Parallel Computing",
publisher = "IOS Press BV",
pages = "217--223",
booktitle = "Applications, Tools and Techniques on the Road to Exascale Computing",
}