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Proceedings of the Sixth International Workshop on Hardware/Software Codesign. (CODES/CASHE'98)最新文献

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Memory size estimation for multimedia applications 多媒体应用程序的内存大小估计
P. Grun, F. Balasa, N. Dutt
Memory modules dominate the cost, performance, and power of embedded systems that process multidimensional signals, typically present in image and video processing. Therefore, studying the impact of parallelism on memory size is crucial for trading off system performance against area cost to enable intelligent system partitioning and exploration. We propose a memory size estimation method for algorithmic specifications containing multidimensional arrays and parallel constructs, intended as part of a high-level partitioning and exploration methodology. The system designer can trade-off estimation accuracy for increased run time. We present the results of our estimation approach on a number of image and video processing kernels, and discuss some preliminary results on the influence of parallelism on storage requirement.
内存模块在处理多维信号的嵌入式系统的成本、性能和功耗方面占主导地位,通常出现在图像和视频处理中。因此,研究并行性对内存大小的影响对于权衡系统性能和区域成本以实现智能系统分区和探索至关重要。我们提出了一种包含多维数组和并行结构的算法规范的内存大小估计方法,旨在作为高级划分和探索方法的一部分。系统设计人员可以权衡评估准确性以增加运行时间。我们给出了我们的估计方法在一些图像和视频处理内核上的结果,并讨论了并行性对存储需求影响的一些初步结果。
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引用次数: 63
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Proceedings of the Sixth International Workshop on Hardware/Software Codesign. (CODES/CASHE'98)
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