Authors
Sarzamin Khan, Sheraz Anjum, Usman Ali Gulzari, Farruh Ishmanov, Maurizio Palesi, Muhammad Khalil Afzal
Publication date
2018/12
Journal
Applied Intelligence
Volume
48
Pages
4792-4804
Publisher
Springer US
Description
In this paper, we propose an optimized, search based near-optimal mapping heuristic, named as ONMAP for mapping real time embedded application workloads on 2D based on-chip interconnection network platforms. ONMAP exploits NMAP, a well-known and fast nearest neighbor heuristic algorithm by using the modular exact optimization method. The proposed hybrid algorithm minimizes the on-chip inter-processor communication energy consumption and optimizes the interconnection network performance parameters. The algorithm inherits the constructive search based heuristic nature of the NMAP algorithm, as well as the property of exact optimization for mapping embedded applications on the target communication architecture. To verify the efficiency and effectiveness of the algorithm, we have compared the proposed algorithm with NMAP and random mapping algorithm under similar simulation …
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