A heuristic for multi objective software application mappings on heterogeneous MPSoCs
Gereon Onnebrink, Ahmed Hallawa, Rainer Leupers, Gerd Ascheid, Awaid Shaheen · 2019
Efficient development of parallel software is one of the biggest hurdles to exploit the advantages of heterogeneous multi-core architectures. Fast and accurate compiler technology is required for determining the trade-off between multiple objectives, such as power and performance. To tackle this problem, the paper at hand proposes the novel heuristic TONPET. Furthermore, it is integrated into the SLX tool suite for a detailed evaluation and an applicability study. TOPNET is tested against representative benchmarks on three different platforms and compared to a state-of-the-art Evolutionary Multi Objective Algorithm (EMOA). On average, TONPET produces 6% better Pareto fronts, while being 18X faster in the worst case.