Model-driven product line engineering for mapping parallel algorithms to parallel computing platforms

Abstract

Mapping parallel algorithms to parallel computing platforms requires several activities such as the analysis of the parallel algorithm, the definition of the logical configuration of the platform, the mapping of the algorithm to the logical configuration platform and the implementation of the source code. Applying this process from scratch for each parallel algorithm is usually time consuming and cumbersome. Moreover, for large platforms this overall process becomes intractable for the human engineer. To support systematic reuse we propose to adopt a model-driven product line engineering approach for mapping parallel algorithms to parallel computing platforms. Using model-driven transformation patterns we support the generation of logical configurations of the computing platform and the generation of the parallel source code that runs on the parallel computing platform nodes. The overall approach is illustrated for mapping an example parallel algorithm to parallel computing platforms.