Two classes of systolic architectures are presented that are able to compute bicubical B-spline or Bezier polynomial coefficients and carry out polynomial evaluations. Using a pair of full arrays it is possible to compute all the coefficients in parallel, and to evaluate the polynomials for a given surface, as well as provide a speedup factor of more than 1500 compared with the single processor computation. An alternative solution is to partition both tasks into smaller sub-tasks so that a reduced size of the array is required. This allows a reasonable tradeoff between the speed needs and the VLSI implementation requirements to be achieved.

A Systolic Accelerator for Parametric Surface Modelling

A Valenzano;
1991

Abstract

Two classes of systolic architectures are presented that are able to compute bicubical B-spline or Bezier polynomial coefficients and carry out polynomial evaluations. Using a pair of full arrays it is possible to compute all the coefficients in parallel, and to evaluate the polynomials for a given surface, as well as provide a speedup factor of more than 1500 compared with the single processor computation. An alternative solution is to partition both tasks into smaller sub-tasks so that a reduced size of the array is required. This allows a reasonable tradeoff between the speed needs and the VLSI implementation requirements to be achieved.
1991
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
computer graphics
parallel architectures
parallel programming
splines (mathematics)
systolic arrays
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/243403
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