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Compiler-guided data compression for reducing memory consumption of embedded applications
Asia and South Pacific Conference on Design Automation, 2006.
Memory system presents one of the critical challenges on embedded system design and optimization. This is mainly due to ever-increasing code complexity of embedded applications and exponential increase witnessed in the amount of data they manipulate. As a result, reducing memory space occupancy of embedded applications is very important and will be even more important in the next decade. Motivated by this observation, this paper presents and evaluates a compiler-driven approach to datadoi:10.1109/aspdac.2006.1594786 dblp:conf/aspdac/OzturkCKK06 fatcat:nduffu6fqrgbllcuoim5o5755i