Publications:Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform
From CERES
| Title | Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform |
|---|---|
| Author | Alécio P. D. Binotto and Edison P. Freitas and Marcelo Götz and Carlos E. Pereira and André Stork and Tony Larsson |
| Year | 2008 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Proceedings of the 2008 International Conference on Reconfigurable Computing and FPGAs |
| DOI | http://dx.doi.org/10.1109/ReConFig.2008.69 |
| Conference | 2008 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2008), 3-5 December 2008, Cancun, Mexico |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408010 |
| Abstract | Modern applications require powerful high-performance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low-cost and high-performance specific hardware (e.g., GPU, PPU) are rising and the CPUs turned to multiple cores, characterizing together an interesting and powerful heterogeneous execution platform. Therefore, self-adaptive computing is a potential paradigm for those scenarios as it can provide flexibility to explore the computational resources on heterogeneous cluster attached to a high-performance computer system platform. As the first step towards a run-time reschedule load-balancing framework targeting that kind of platform, application time requirements and its crosscutting behavior play an important role for task allocation decisions. This paper presents a strategy for self-reallocation of specific tasks, including dynamic created ones, using aspect-oriented paradigms to address non-functional application timing constraints in the design phase. Additionally, as a case study, a special attention on Radar Image Processing will be given in the context of a surveillance system based on Unmanned Aerial Vehicles (UAV). |
