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With the advent of complex modern architectures, the low-level paradigms long considered sufficient to build High Performance Computing (HPC) numerical codes have met their limits. Achieving efficiency, ensuring portability, while preserving programming tractability on such hardware prompted the HPC community to design new, higher level paradigms while relying on runtime systems to maintain performance...
With the spatial, spectral and temporal resolutions of remote sensing data increasing, the computing efficiency becomes one of bottlenecks for remote sensing image data processing, especially for that with time response requirements. In this paper, towards the aerosol optical depth retrieval application from moderate resolution imaging spectroradiometer data, taking the time-consuming interpolation...
Parallel programming for multicore-based systems and their dynamically changing operating environments pose significant challenges to everyday programmers in the effort to improve productivity and to achieve error-free, efficient execution of their programs. We presented a model that meets these challenges better than other approaches by using statically-sequential programs and performing their dynamically...
This paper describes an extension to OpenMP for invasive computing. iOMP is being developed within the framework of the Transregional Collaborative Research Centre 89 (TRR89) funded by the German Research Foundation (DFG). Invasive computing allows the programmer to write resource aware parallel programs. The programs can specify to the resource management which and how many resource are required...
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