Open Access
Issue
MATEC Web Conf.
Volume 246, 2018
2018 International Symposium on Water System Operations (ISWSO 2018)
Article Number 03044
Number of page(s) 5
Section Parallel Session II: Water System Technology
DOI https://doi.org/10.1051/matecconf/201824603044
Published online 07 December 2018
  1. Jagannathan S, Mody M, Mathew M. Optimizing convolutional neural network on DSP[C]// IEEE International Conference on Consumer Electronics. IEEE, 2016: 371-372. [Google Scholar]
  2. Ramesh B, Bhardwaj A, Richardson J, et al. Optimization and evaluation of image-and signalprocessing kernels on the TI C6678 multi-core DSP[C]// High PERFORMANCE Extreme Computing Conference. IEEE, 2015: 1-6. [Google Scholar]
  3. Jia, Yangqing, Shelhamer, et al. Caffe: Convolutional Architecture for Fast Feature Embedding[J]. 2014: 675-678. [Google Scholar]
  4. S. Mu, C. Wang, M. Liu, D. Li, M. Zhu, X. Chen, X. Xie, and Y. Deng, “Evaluating the potential of graphics processors for high performance embedded computing,” in Design, Automation Test in Europe Conference Exhibition (DATE), 2011, March 2011, pp. 1-6. [Google Scholar]
  5. TMS320C66x DSP Core Pac User Guide. [Online]. Available: http://www.ti.com/lit/ug/sprugw0c/sprugw0c.pdf [Google Scholar]
  6. TMS320C6678 multicore fixed and floating-point digital signal processor, data manual. [Online]. Available: http://www.ti.com/lit/ds/sprs691c/sprs691c.pdf [Google Scholar]
  7. TMS320C66x DSP CPU and Instruction Set Reference Guide. [Online]. Available: http://www.ti.com/lit/ug/sprugh7/sprugh7.pdf [Google Scholar]

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