Superlinear Performance in Real-Time Parallel Computation |
| |
Authors: | Selim G. Akl |
| |
Affiliation: | (1) School of Computing, Queen's University, Kingston, Ontario, K7L 3N6, Canada |
| |
Abstract: | Can a parallel computer with n processors solve a computational problem more than n times faster than a sequential computer? Can it solve it more than n times better? New computational paradigms offer an affirmative answer to the above questions through concrete examples in which the improvement in speed or quality is superlinear in the number of processors used by the parallel computer. Furthermore, the improvement is consistent and provable. All examples are characterized by the presence of one or several real-time input streams. In one of the examples, an exponential improvement in speed is achieved despite the fact that the processors of the parallel computer are significantly slower than their sequential counterpart. In another example, the improvement in quality is unbounded. A metaphor from everyday life motivates each computational paradigm in which a superlinear improvement in performance is exhibited. |
| |
Keywords: | parallelism superlinear speedup superlinear quality-up real-time computation optimization cryptography numerical analysis |
本文献已被 SpringerLink 等数据库收录! |
|