Parallel algorithm mapping to memory multidimensional signals

LASCAS(2016)

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摘要
The signal processing algorithms are typically described in a high-level programming language. In data-dominated applications, particularly in the multimedia and telecommunication domains, the code of these behavioral specifications is organized in sequences of loop nests; the main data structures are multidimensional arrays. This paper proposes a memory management algorithm for mapping multidimensional signals (arrays) to the physical memories. The proposed technique is well-suited to a dynamic multithreading implementation, which makes it computationally efficient. Another advantage is that it can be applied to multi-layer memory hierarchies, which makes it particularly useful in embedded systems design.
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关键词
data structures,embedded systems,multi-threading,multidimensional signal processing,parallel algorithms,storage management,behavioral specifications,data structures,data-dominated applications,dynamic multithreading implementation,embedded system design,high-level programming language,memory management algorithm,multidimensional arrays,multidimensional signal to memory mapping,multilayer memory hierarchies,multimedia,parallel algorithm,physical memories,signal processing algorithms,telecommunication,Memory management,multidimensional signals,polytopes and lattices,signal-to-memory mapping
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