Degree Granting Department
Dr. N Ranganathan.
Code partition, Reverse engineering, Procedural language application distribution, Parallel vitual machine, Heterogenous systems
In a large class of distributed embedded systems, most of the code generation models in use today target at object-oriented applications. Distributed computing using procedural language applications is challenging because there are no compatible code generators to test the partitioned programs mapped on to the multi-processor system. In this thesis, we design a code generator to produce procedural language code for a distributed embedded system. Unpartitioned programs along with the partition primitives are converted into independently executable concrete implementations. The process consists of two steps, first translating the primitives of the unpartitioned program into equivalent code clusters, and then scheduling the implementations of these code clusters according to the data dependency inherent in the unpartitioned program. Communication and scheduling of the partitioned programs require the original source code to be reverse engineered.
Scholar Commons Citation
Singh, Neeta S., "An automatic code generation tool for partitioned software in distributed computing" (2005). Graduate Theses and Dissertations.