A Model-Based Software Generation Approach Qualified for Heterogeneous GPGPU-Enabled Platforms

被引：0

作者：

Endt, Holger ^{[1
]}

Stolz, Lothar ^{[1
]}

Wechs, Martin ^{[2
]}

Stechele, Walter ^{[3
]}

机构：

[1] BMW Res & Technol, D-80788 Munich, Germany

[2] BMW Grp, Munich, Germany

[3] Tech Univ Munich, Inst Integrated Syst, D-80290 Munich, Germany

来源：

APPLICATIONS, TOOLS AND TECHNIQUES ON THE ROAD TO EXASCALE COMPUTING | 2012年 / 22卷

关键词：

Model-Based Programming; GPGPU; ECU Platform; GPU; In-vehicle Driver Assistance;

D O I：

10.3233/978-1-61499-041-3-217

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：217 / 223

页数：7

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