Читать книгу Multi-Processor System-on-Chip 1 - Liliana Andrade - Страница 26

1.5. References

Оглавление

Amodei, D., Ananthanarayanan, S., Anubhai, R., Bai, J., Battenberg, E., Case, C., Casper, J., Catanzaro, B., Cheng, Q., Chen, G., Chen, J., Chen, J., Chen, Z., Chrzanowski, M., Coates, A., Diamos, G., Ding, K., Du, N., Elsen, E., Engel, J., Fang, W., Fan, L., Fougner, C., Gao, L., Gong, C., Hannun, A., Han, T., Johannes, L.V., Jiang, B., Ju, C., Jun, B., LeGresley, P., Lin, L., Liu, J., Liu, Y., Li, W., Li, X., Ma, D., Narang, S., Ng, A., Ozair, S., Peng, Y., Prenger, R., Qian, S., Quan, Z., Raiman, J., Rao, V., Satheesh, S., Seetapun, D., Sengupta, S., Srinet, K., Sriram, A., Tang, H., Tang, L., Wang, C., Wang, J., Wang, K., Wang, Y., Wang, Z., Wang, Z., Wu, S., Wei, L., Xiao, B., Xie, W., Xie, Y., Yogatama, D., Yuan, B., Zhan, J., Zhu, Z. (2016). Deep speech 2: End-to-end speech recognition in English and Mandarin. Proceedings of the 33rd International Conference on Machine Learning – Volume 48, ICML-16, 173–182.

Croome, M. (2018). Using RISC-V in high computing, ultra-low power, programmable circuits for inference on battery operated edge devices [Online]. Available at: https://content.riscv.org/wp-content/uploads/2018/07/Shanghai-1325_GreenWaves_Shanghai-2018-MC-V2.pdf.

Dutt, N. and Choi, K. (2003). Configurable processors for embedded computing. IEEE Computer, 36(1), 120–123.

embARC Open Software Platform (2019). Available at: https://embarc.org/.

Jacob, B., Kligys, S., Chen, B., Zhu, M., Tang, M., Howard, A.G., Adam, H., and Kalenichenko, D. (2017). Quantization and training of neural networks for efficient integer-arithmetic-only inference. Computing Research Repository. Available at: http://arxiv.org/abs/1712.05877.

Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R.B., Guadarrama, S., and Darrell, T. (2014). Caffe: Convolutional architecture for fast feature embedding. Computing Research Repository. Available at: https://arxiv.org/abs/1408.5093.

Krizhevsky, A. (2009). Learning multiple layers of features from tiny images. Technical Report, University of Toronto, 2009.

Lai, L., Suda, N., and Chandra, V. (2018). CMSIS-NN: Efficient neural network kernels for arm cortex-M CPUs. Computing Research Repository. Available at: http://arxiv.org/abs/1801.06601.

Petrov-Savchenko, A. and van der Wolf, P. (2018). Get smart with NB-IoT: Efficient low-cost implementation of NB-IoT for smart applications. Technical paper, Synopsys [Online]. Available at: https://www.synopsys.com/dw/doc.php/wp/NB_IoT_for_Smart_Applications.pdf.

Q Number Format (2019). Available at: https://en.wikipedia.org/wiki/Q_(number_format).

Samuel, A.L. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3(3), 210–229.

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A. (2015). Going deeper with convolutions. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1–9.

For a color version of all figures in this book, see www.iste.co.uk/andrade/multi1.zip.

Multi-Processor System-on-Chip 1

Подняться наверх