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- W1569560101 abstract "Hierarchical memory organizations are used in embedded systems to reduce energy consumption and improve performance by assigning the frequently-accessed data to the low levels of memory hierarchy. Within a given level of hierarchy, energy and access times can be further reduced by memory banking. This paper addresses the problem of banking optimization, presenting a dynamic programming approach that takes into account all three major design objectives — energy consumption, performance, and die area, letting the designers decide on their relative importance for a specific project. The time complexity is independent of the size of the storage access trace and of the memory size — a significant advantage in terms of computation speed when these two parameters are large." @default.
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- W1569560101 date "2015-05-01" @default.
- W1569560101 modified "2023-09-27" @default.
- W1569560101 title "Optimization of memory banking in embedded multidimensional signal processing applications" @default.
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- W1569560101 doi "https://doi.org/10.1109/iscas.2015.7169288" @default.
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