Comparative study of multiprocessor systems based on transputers and DSPS for image processing
| dc.contributor.author | Kumarasamy, Seelan | |
| dc.date.accessioned | 2015-07-30T04:06:34Z | |
| dc.date.available | 2015-07-30T04:06:34Z | |
| dc.date.issued | 1993 | |
| dc.description.abstract | The ever increasing requirement for high speed image processing has motivated much research in parallel implementations of common image processing functions. This work considers the implementation of low and intermediate level image processing functions exhibiting differing data dependency characteristics on multiprocessor networks based on transputers and Digital Signal Processors (DSPs). A number of parallel programming paradigms and multiprocessor network architectures have been examined to determine the factors that affect speedup and scalability performance of the algorithms and to identify optimal solutions. A basic routing harness for dynamic processor farms and a routing harness designed to exploit low-level parallelism and eliminate redundant copying have been implemented and performance compared over a wide group of workloads, distributions and network and workpacket sizes. The Fast Fourier and Hough transforms have been implemented on transputer farms and other network architectures and the degree to which parallelism and hardware resources may be exploited compared. Several parallel solutions reported recently have been studied. Attention is given to the data distribution and results compilation phases of the parallel solutions as this sometimes neglected consideration can limit the performance of the implementation and the adaptability of parallel solutions derived for non-transputer systems. System memory requirement for the various implementations are also discussed. A hybrid processing element with a DSP as a co-processor to a transputer, interfaced via shared memory, has been designed to study the effect, on the algorithms studied, of enhancing the computational capability of the transputer. Such an architecture yields minimal benefits for 20 FFr computation, as the ratio of computation to communication capability is not balanced. With the subimage Hough Transform and other severely computationally bound implementations however, the hybrid network coupled with the efficient routing harness leads to outstanding performance for farmed applications. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/990 | |
| dc.language.iso | en | en_US |
| dc.subject | Multiprocessor system | en_US |
| dc.subject | Transputers | en_US |
| dc.title | Comparative study of multiprocessor systems based on transputers and DSPS for image processing | en_US |
| dc.type | Thesis | en_US |
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