Abstract
A wide class of image analysis tasks are devoted to extract from data expressed in iconic form (images) descriptors expressed in not iconic form (graphs, lists of attributes). As well known, such tasks require both local and global operations over the input image and are not always efficiently managed neither by massive SIMD processors, nor by various types of MIMD processors so that a number of novel computer architectures are presently being experimented.
A research project has been started at IFCAI to build a multiprocessor system able to emulate and evaluate on a common testbed different strategies of coupling architecture facilities, algorithms and languages presently used in mid-level image processing.
The system is called SMAE (SIMD / MIMD Architecture Emulator) and it is based on a PRAM (Parallel Random Access Memory) parellel architecture model implemented on multiple bus structure and augmented with a Near_Neighbour linear network.
In the paper some architectural issues on parallel image processing are discussed, a description of the machine hardware and of some its emulation possibilities follows.
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© 1989 Springer-Verlag Wien
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Machì, A. (1989). SMAE: A Multiprocessor System for Architecture Emulation in Intermediate Level Image Processing Tasks. In: Pieroni, G.G. (eds) Issues on Machine Vision. International Centre for Mechanical Sciences, vol 307. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2830-5_14
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DOI: https://doi.org/10.1007/978-3-7091-2830-5_14
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82148-0
Online ISBN: 978-3-7091-2830-5
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