受强制性开放获取政策约束的文章 - Jing Pu了解详情
可在其他位置公开访问的文章：4 篇
Tetris: Scalable and efficient neural network acceleration with 3d memory
M Gao, J Pu, X Yang, M Horowitz, C Kozyrakis
Proceedings of the Twenty-Second International Conference on Architectural …, 2017
强制性开放获取政策： US National Science Foundation
Interstellar: Using halide's scheduling language to analyze dnn accelerators
X Yang, M Gao, Q Liu, J Setter, J Pu, A Nayak, S Bell, K Cao, H Ha, ...
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
强制性开放获取政策： US Department of Defense, American Heart Association
Tangram: Optimized coarse-grained dataflow for scalable nn accelerators
M Gao, X Yang, J Pu, M Horowitz, C Kozyrakis
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
强制性开放获取政策： US National Science Foundation
Programming heterogeneous systems from an image processing DSL
J Pu, S Bell, X Yang, J Setter, S Richardson, J Ragan-Kelley, M Horowitz
ACM Transactions on Architecture and Code Optimization (TACO) 14 (3), 1-25, 2017
强制性开放获取政策： US Department of Defense
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