Enabling transparent hardware acceleration on Zynq SoC for scientific computing
暂无分享,去创建一个
Donatella Sciuto | Luca Stornaiuolo | Riccardo Pressiani | Marco Santambrogio | Filippo Carloni | Giuseppe Natale | D. Sciuto | M. Santambrogio | Luca Stornaiuolo | F. Carloni | Giuseppe Natale | Riccardo Pressiani
[1] Elias S. Manolakos,et al. Python to accelerate embedded SoC design , 2014, ACM Trans. Embed. Comput. Syst..
[2] Troels Blum,et al. Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster , 2013 .
[3] Klaus-Robert Müller,et al. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms , 2004, IEEE Transactions on Biomedical Engineering.
[4] Myung Hwan Yun,et al. A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives , 2017, PloS one.
[5] Grigori Fursin,et al. Predictive Runtime Code Scheduling for Heterogeneous Architectures , 2008, HiPEAC.
[6] Wayne Luk,et al. PyHDL: Hardware Scripting with Python , 2003, Engineering of Reconfigurable Systems and Algorithms.