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Enhancing the Programmability and Performance Portability of GPU Tensor Operations., , , , и . Euro-Par, том 11725 из Lecture Notes in Computer Science, стр. 213-226. Springer, (2019)FireCaffe: near-linear acceleration of deep neural network training on compute clusters., , , и . CoRR, (2015)Boda: A Holistic Approach for Implementing Neural Network Computations., , и . Conf. Computing Frontiers, стр. 53-62. ACM, (2017)Shallow Networks for High-accuracy Road Object-detection., , , , и . VEHITS, стр. 33-40. SciTePress, (2017)Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms., , и . WiMob, стр. 1-10. IEEE Computer Society, (2016)Matching Architecture to Application Via Configurable Processors: A Case Study with Boolean Satisfiability Problem., , , , и . ICCD, стр. 447-452. IEEE Computer Society, (2001)Fast cycle-accurate simulation and instruction set generation for constraint-based descriptions of programmable architectures., , , , и . CODES+ISSS, стр. 18-23. ACM, (2004)Implementing Efficient, Portable Computations for Machine Learning.. University of California, Berkeley, USA, (2017)base-search.net (ftcdlib:qt4nz902vt).libHOG: Energy-Efficient Histogram of Oriented Gradient Computation., , и . ITSC, стр. 1248-1254. IEEE, (2015)DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning., , , , , , , , и . CoRR, (2018)