Accelerating MATLAB Image Processing Toolbox functions on GPUs

In this paper, we present our effort in developing an opensource GPU (graphics processing units) code library for the MATLAB Image Processing Toolbox (IPT). We ported a dozen of representative functions from IPT and based on their inherent characteristics, we grouped these functions into four categories: data independent, data sharing, algorithm dependent and data dependent. For each category, we present a detailed case study, which reveals interesting insights on how to efficiently optimize the code for GPUs and highlight performance-critical hardware features, some of which have not been well explored in existing literature. Our results show drastic speedups for the functions in the data-independent or data-sharing category by leveraging hardware support judiciously; and moderate speedups for those in the algorithm-dependent category by careful algorithm selection and parallelization. For the functions in the last category, finegrain synchronization and data-dependency requirements ...

• Type: Conference
• Year: 2010
• Where: ASPLOS
• Authors: Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liyanage, Lin Cao, Jacob Staples, Mike Mantor, Huiyang Zhou
• Keywords: ASPLOS 2010, Code For Gpus, Graphics Processing Units, MATLAB Image Processing, Programming Languages