Optimization of memory banking in embedded multidimensional signal processing applications
International Symposium on Circuits and Systems(2015)
摘要
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.
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