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| Content Provider | ACM Digital Library |
|---|---|
| Author | Fujita, Shohei |
| Abstract | This paper presents a pragmatic example of how to use Ada tasks with Add machines such as SuperMicro(TM) for scientific computing. First, a class of asynchronous concurrent Newton's algorithms: Purely-Asynchronous (PAN), Asynchronous (AN), and Semi-Asynchronous (SAN) algorithms are introduced for distributed computing environment. A sufficient condition is shown to guarantee local convergence of these asynchronous algorithms. Moreover, it is proved that the PAN algorithm is linearly convergent, the AN algorithm is super-linearly convergent, and the SAN algorithm is quadratically convergent. The order of convergence depends on the degree of interaction among computing modules. Second, a non-deterministic program for the asynchronous algorithm is provided by using Ada tasks. The asynchronous algorithm/program is superior to the synchronized counterpart with respect to computation speed and reliability. Lastly, this paper describes a way where the asynchronous algorithm/program can be realized as a hierarchic distributed system with Ada machines. A preliminary result is shown with MicroAda/SuperMicro(TM). |
| Starting Page | 49 |
| Ending Page | 59 |
| Page Count | 11 |
| File Format | |
| ISBN | 0897910834 |
| DOI | 10.1145/800069.802166 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1982-08-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Active data structure Real time applications Asynchronous concurrent iteration Quadratic convergence Data dependency Super-linear convergence Computing modules Non-deterministic algorithm/program Portable numerical software Communication modules Ada tasks Linear convergence Decentralized computation |
| Content Type | Text |
| Resource Type | Article |
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