Teil eines Buches,
An Image Algebra Based SIMD Image Processing Environment
Visual Information Representation, Communication, and Image Processing, Marcel Dekker, New York, (1999)
Zusammenfassung
SIMD parallel computers have been employed for image
related applications since their inception. They
have been leading the way in improving processing
speed for those applications. However, current
parallel programming technologies have not kept pace
with the performance growth and cost decline of
parallel hardware. A highly usable parallel software
development environment is needed. This chapter
presents a computing environment that integrates a
SIMD mesh architecture with image algebra for
high-performance image processing applications. The
environment describes parallel programs through a
machine-independent, retargetable image algebra
object library that supports SIMD execution on the
Lockheed Martin PAL-I parallel computer. Program
performance on this machine is improved through
on-the-fly execution analysis and scheduling. We
describe the relevant elements of the system
structure, outline the scheme for execution
analysis, and provide examples of the current cost
model and scheduling system.
