Name
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). |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ReConFig.2008.69 | ReConFig |
Keywords | Field | DocType |
powerful high-performance platform,powerful heterogeneous execution platform,heterogeneous platform,dynamic self-rescheduling,non-functional application timing constraint,specific task,modern application,high-performance specific hardware,surveillance system,heterogeneous cluster,application time requirement,high-performance computer system platform,distributed processing,radar imaging,real time systems,time measurement,load balance,computer science,object oriented programming,load balancing,aspect oriented,image processing,resource management | Resource management,Radar imaging,Object-oriented programming,Load balancing (computing),Computer science,Image processing,Real-time computing,Heterogeneous cluster | Conference |
ISBN | Citations | PageRank |
978-0-7695-3474-9 | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alécio Pedro Delazari Binotto | 1 | 52 | 6.66 |
| Edison P. Freitas | 2 | 45 | 2.88 |
| Marcelo Götz | 3 | 49 | 8.81 |
| Carlos E. Pereira | 4 | 103 | 11.46 |
| André Stork | 5 | 9 | 2.01 |
| Tony Larsson | 6 | 133 | 19.96 |