高性能嵌入式平台上实时并行图像处理的便携式框架

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing Pub Date : 2015-03-04 DOI:10.1109/PDP.2015.31

Clemens Eisserer

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引用次数: 0

摘要

高效，但更复杂，多核设计的趋势也达到了数字信号处理器(DSP)的世界，这是一个典型的低级编程已经盛行的领域。为了克服多核多芯片DSP系统编程的额外复杂性，我们提出了一种基于任务的并行编程的面向对象框架，该框架基于高效能的德州仪器TSMC320C6678平台。我们的框架以高层次的方式整合了该平台的硬件架构细节，如DMA单元，同时保持可移植性-指导算法设计人员从pc到嵌入式DSP平台的路径。整个框架的设计和实现都考虑到了实时需求和低开销，这对于在嵌入式系统上接受高级解决方案至关重要。

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Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms

The trend to efficient, however more complex, multicore designs has also reached the world of Digital Signal Processors (DSP), a field where typically low-level programming has been prevalent. To overcome the additional complexity of programming multi-core and multi-chip DSP systems, we present an object-oriented framework for task-based parallel programming on the highly power efficient Texas Instruments TSMC320C6678 platform. Our framework incorporates hardware architectural details of this platform such as DMA units in a high-level manner, while maintaining portability - guiding the path for algorithmic designers from PCs to embedded DSP platforms. The whole framework has been designed and implemented with real-time requirements and low overhead in mind, which is crucial for the acceptance of higher-level solutions on embedded systems.

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2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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