
doi: 10.1145/6497.6500
An implementation using systolic array logic of Aitken's method of iterated interpolation is described. The proposed design has a simple, linear topology, requires no clock, and makes only modest demands on the host computer. By overlapping the computation of successive function values, a processing element utilization of approximately 1/2 is achieved. The paper illustrates how “mathematical hardware” packages, as well as software library routines, may be part of the mathematical problem solver's tool kit in the future.
linear interpolation, systolic array, parallel computing, Numerical interpolation, Aitken's algorithm, Interpolation in approximation theory, Theory of operating systems, iterated interpolation
linear interpolation, systolic array, parallel computing, Numerical interpolation, Aitken's algorithm, Interpolation in approximation theory, Theory of operating systems, iterated interpolation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
