As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
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.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.