Data-flow algorithms for parallel matrix computation

TitleData-flow algorithms for parallel matrix computation
Publication TypeJournal Articles
Year of Publication1985
AuthorsO'Leary DP, Stewart G.W
JournalCommunications of the ACM
Pagination840 - 853
Date Published1985/08//
ISBN Number0001-0782

In this article we develop some algorithms and tools for solving matrix problems on parallel processing computers. Operations are synchronized through data-flow alone, which makes global synchronization unnecessary and enables the algorithms to be implemented on machines with very simple operating systems and communication protocols. As examples, we present algorithms that form the main modules for solving Liapounov matrix equations. We compare this approach to wave front array processors and systolic arrays, and note its advantages in handling missized problems, in evaluating variations of algorithms or architectures, in moving algorithms from system to system, and in debugging parallel algorithms on sequential machines.