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Data-Flow Algorithms for Parallel Matrix Computations
| Content Provider | CiteSeerX |
|---|---|
| Author | Ng, Edward O.’leary, Dianne P. Stewart, G. W. |
| Abstract | ABSTRACT: 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, zve present algorithms that form the main modules for solving Liapounou 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. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Data-flow Algorithm Parallel Matrix Computation Matrix Problem Main Module Data-flow Alone Sequential Machine Liapounou Matrix Equation Global Synchronization Present Algorithm Systolic Array Communication Protocol Front Array Processor |
| Content Type | Text |
| Resource Type | Article |
