Rapid Prototyping of Image Processing Workflows on Massively Parallel Architectures
Author
Abstract

Many-core Graphics Processing Units (GPU) provide a high-performance parallel hardware platform on the desktop at an incredibly low cost. However, the widespread use of this computational capacity is hindered by the fact that programming GPUs is difficult. The state-of-the-art is to develop code utilizing the NVIDIA Compute Unified Device Architecture (CUDA). However, effective use of CUDA requires developers highly skilled in both low-level systems programming and parallel processing.

Year of Publication
2012
Conference Name
Workshop on Intelligent Solutions in Embedded Systems
Date Published
06/2012
Conference Location
Klagenfurt, Austria
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