Name
Abstract | ||
|---|---|---|
This paper presents a new approach to the problem caused by the exploding needs of computing resources in function calculation. The proposal argues for increasing the computing power at the primitive processing level in order to reduce the number of computing levels required to carry out the calculations. This trade-off is developed within the limits of function evaluation by substituting the usual primitives, namely sum and multiplication, by a unique weighted primitive that can be tuned for different values of the weighting parameters. All function points are carried out by successive iterations of the primitive. A parametric architecture implements the design. The case of combined trigonometric functions involved in the calculation of the Hough transform (HT) is analyzed under this scope. It provides memory and hard-ware resource saving as well as speed improvements, according to the experiments carried out with the HT. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-71270-1_18 | ARCS |
Keywords | Field | DocType |
primitive processing level,function point,function evaluation,usual primitive,function calculation improvement,function calculation,computing power,new approach,parametric architecture,different value,hard-ware resource saving,combined trigonometric function,hough transform | Architecture,Weighting,Trigonometric functions,Computer science,Parallel computing,Function point,Algorithm,Hough transform,Parametric statistics,CORDIC,Multiplication | Conference |
Volume | ISSN | Citations |
4415 | 0302-9743 | 1 |
PageRank | References | Authors |
0.41 | 19 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Teresa Signes Pont | 1 | 46 | 10.44 |
| Juan Manuel García Chamizo | 2 | 17 | 4.20 |
| Higinio Mora Mora | 3 | 129 | 25.35 |
| Gregorio de Miguel Casado | 4 | 24 | 5.69 |