Design, Automation & Test in Europe Conference & Exhibition (2012)
Mar. 12, 2012 to Mar. 16, 2012
Real-time applications are raising the challenge of unpredictability. This is an extremely difficult problem in the context of modern, dynamic, multiprocessor platforms which, while providing potentially high performance, make the task of timing prediction extremely difficult. In this paper, we present a flexible distributed run-time application mapping framework for both homogeneous and heterogeneous multi-core platforms that adapts to application's needs and application's execution restrictions. The novel idea of this article is the application of autonomic management paradigms in a decentralized manner inspired by Divide-and-Conquer (D&C) method. We have tested our approach in a Leon-based Network-on-Chip platform using both synthetic and real application workload. Experimental results showed that our mapping framework produces on average 21% and 10% better on-chip communication cost for homogeneous and heterogeneous platform respectively.
network-on-chip, divide and conquer methods, multiprocessing systems, Leon-based network-on-chip platform, divide and conquer based distributed run-time mapping methodology, many-core platforms, multiprocessor platforms, timing prediction, distributed run-time application mapping framework, homogeneous multicore platforms, heterogeneous multicore platforms, autonomic management paradigms, System-on-a-chip, Algorithm design and analysis, Magnetic resonance imaging, Resource management, Equations, Control systems, Mathematical model
"A divide and conquer based distributed run-time mapping methodology for many-core platforms", Design, Automation & Test in Europe Conference & Exhibition, vol. 00, no. , pp. 111-116, 2012, doi:10.1109/DATE.2012.6176442