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ABSTRACT
Platform-independent source code transformations can greatly help alleviate the data-transfer and storage bottleneck. This article covers global data-flow, loop, and data-reuse-related transformations, and discusses their effect on data transfer and storage, processor partitioning, and parallelization.
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CITATION

K. Danckaert, N. D. Dutt, F. Catthoor and S. Wuytack, "Code Transformations for Data Transfer and Storage Exploration Preprocessing in Multimedia Processors," in IEEE Design & Test of Computers, vol. 18, no. , pp. 70-82, 2001.
doi:10.1109/54.922804
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