Title :
Steps toward architecture-independent image processing
Author_Institution :
Sch. of Comput. Sci., Carnegia Mellon Univ., Pittsburgh, PA, USA
Abstract :
Adapt, an architecture-independent language based on the split-and-merge model, is presented. It is specialized for efficient, parallel computation of image-processing algorithms. The split-and-merge programming model is first examined. The Adapt language and its implementation are then described, and its performance is considered.<>
Keywords :
computerised picture processing; merging; parallel languages; parallel programming; Adapt language; architecture-independent image processing; architecture-independent language; image-processing algorithms; parallel computation; programming model; split-and-merge model; Application software; Computer aided manufacturing; Computer architecture; Computer vision; Concurrent computing; Image processing; Parallel processing; Parallel programming; Programming profession; Scientific computing;
