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DSD
2004
IEEE

Memory Requirement Optimization with Loop Fusion and Loop Shifting

14 years 3 months ago
Memory Requirement Optimization with Loop Fusion and Loop Shifting
Loop fusion and loop shifting are well recognized loop transformations for memory requirement reduction. Stateof-the-art optimizations with loop fusion and shifting are based on heuristics without any evaluation of the resulting effects during each optimization step. Thus we cannot guarantee that each step results in a reduced overall memory requirement. On the other hand, most memory requirement estimations at system level are inefficient and slow. Also the estimation is not started until the optimization is done. Having to iterate between optimization and estimation is very time consuming. In this paper, we present a storage requirement optimization method which combines the optimization and estimation processes with the goal to have continuous estimates during the optimization and hence to achieve lower memory requirements.
Qubo Hu, Martin Palkovic, Per Gunnar Kjeldsberg
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where DSD
Authors Qubo Hu, Martin Palkovic, Per Gunnar Kjeldsberg
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