Mississippi State University
Luke, Edward A.
Reese, Donna S.
Dandass, Yoginder S.
Date of Degree
Graduate Thesis - Open Access
Master of Science
James Worth Bagley College of Engineering
Department of Computer Science and Engineering
For distributed memory architectures, communication cost is a significant source of overhead in parallel scientific applications. Many proposed communication optimizations duplicate the behavior of well-written hand-tuned parallel code. Because of continuous changes in architectural components, these types of low-level optimizations are not always effective. This thesis seeks to develop a high-level optimization of work replication in which computations are replicated to minimize communications. There exist performance trade-offs between computation cost and communication cost because of work replication. Due to these trade-offs, it is required to determine which computations should be replicated to improve overall performance. This research presents the development of a model-based approach with heuristics to automatically determine the computations to replicate. Using a computational and communication model, the execution time is predicted to make replication decisions.
Soni, Krunal Navinchandra, "Work Replication: A Communication Optimization For Loci" (2005). Theses and Dissertations. 5035.