Wolf W. A Decade of Hardware/Software Codesign[M]. New York: IEEE Computer, 2003.
[2]
Dou Shuang, Ding Shan, Zhang Shi, et al. GA-based algorithm for hardware/software partitioning with resource contentions[C]∥The 2nd Int Conf Advanced Computer Control, 2010:68-72.
[3]
周雁.基于遗传和粒子群优化算法的软硬件划分方法研究[D]. 上海:华东师范大学, 2011. Zhou Yan. Research on hardware/software partitioning method based on GA and PSO[D].Shanghai: East China Normal University, 2011.
[4]
肖平, 徐成, 杨志邦, 等. 基于改进模拟退火算法的软硬件划分[J]. 计算机应用, 2011, 31(7):1797-1803. Xiao Ping, Xu Cheng, Yang Zhi-bang, et al. Hardware/software partitioning based on improved simulated annealing algorithm[J].Journal of Computer Applications, 2011, 31(7):1797-1803.
[5]
马天义. 低功耗软硬件划分算法研究[D]. 哈尔滨:哈尔滨工业大学, 2009. Ma Tian-yi. Research on low power hardware / software partitioning algorithms[D]. Harbin: Harbin Institute University, 2009.
[6]
Li Y, Callahan T, Darnell E, et al. Hardware-software co-design of embedded reconfigurable architectures[C]∥Proceedings of the Design Automation Conference, 2000:507-512.
[7]
Stitt G. Hardware/software partitioning with multi-version implementation exploration[C]∥Proceedings of Great Lakes Symposium in VLSI, Orlando, FL, USA, 2008:143-146.
[8]
Li J, He H, Man H, et al. A general-purpose FPGA-based reconfigurable platform for video and image processing[C]∥Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks-Part III, 2009: 299-309.
[9]
Pellerin D, Thibault S. Evaluating hardware acceleration strategies using C-to-hardware tools[J]. XCell Journal, 2006, 58:16-18.
[10]
Watkins C J C H, Dayan P. Technical note: Q -learning[J]. Machine Learning, 1992, 8(3-4): 279-292.
[11]
Free Software Foundation, Inc. GNU profiler[EB/OL].[2011-11-21].http//sourceware.org/binutils/docs/gprof/index.html.
