| Paper: | DISPS-P4.7 | ||
| Session: | Design and Mapping Techniques | ||
| Time: | Friday, May 21, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Design and Implementation of Signal Processing Systems: Software Environments and Languages | ||
| Title: | DISTRIBUTED MATLAB BASED SIGNAL AND IMAGE PROCESSING USING JAVAPORTS | ||
| Authors: | Elias Manolakos; Northeastern University | ||
| Demetris Galatopoullos; Northeastern University | |||
| Andrew Funk; Northeastern University | |||
| Abstract: | Many scientists and engineers have signal and image processing applications that involve large data sets and could benefit from parallelprocessing on readily-available clusters of workstations (COWS). Unfortunately these applications often exist as legacy code, such as Matlab functions, which are not easily parallelizable. The goal ofthe JavaPorts project is to provide a framework for flexible development of parallel and distributed component-based applications for heterogeneous COWs. The latest version of the package supports the integration of Java and Matlab components into the same application. The main features of the JavaPorts framework and its tools are discussed and application examples are presented which highlight its ability to support the rapid prototyping of parallel and distributed computing strategies with communicating Java and Matlab components. | ||
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