| A. C. Downton. Speed-up trend analysis for H.261 and model-based image coding algorithms using a parallel-pipeline model. Signal Processing: Image Communications, 7:489--502, 1995. |
....methodology aimed at continuous flow, embedded systems. More precisely, the target systems are expected to be driven by soft real time constraints such as pipeline throughput, and traversal latency. Recently, a number of medium scale, data dominated, vision and image processing applications [1, 2, 3, 4, 5, 6], have been parallelized along PPF lines. We tentatively define medium sized systems to contain several algorithmic components, with approximately 3,000 to 50,000 lines of code. Examples of applicable irregular, continuous flow systems can be found in vision, radar [7] speech processing [8] and ....
A. C. Downton. Speed-up trend analysis for H.261 and model-based image coding algorithms using a parallel-pipeline model. Signal Processing: Image Communications, 7:489--502, 1995.
No context found.
A. C. Downton. Speed-up trend analysis for H.261 and model-based image coding algorithms using a parallel-pipeline model. Signal Processing: Image Communications, 7:489--502, 1995.
No context found.
A. C. Downton. Speed-up trend analysis for H.261 and model-based image coding algorithms using a parallel-pipeline model. Signal Processing: Image Communications, 7:489--502, 1995.
....the bandwidth requirements are increased. Since both the components of the second partition are dependent on the completion of all the calculations on the first partition, the pipeline traversal latency will not be reduced by decomposing the image into smaller components. The pipeline of Fig. 8 is relevant as the basis of a VLSI scheme, possibly through a systolic array. For a large grained parallelization, the arrangement of Fig. 6 but merging the eigenvector calculation into the work of the second farmer is practical. The scheduling regime on the processor hosting the two farmers is ....
A. C. Downton. Speed-up trend analysis for H.261 and model-based image coding algorithms using a parallel-pipeline model. Signal Processing: Image Communications, 7:489--502, 1995. 16
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