DLVM: A MODERN COMPILER FRAMEWORK FOR NEURAL NETWORK DSLS
暂无分享,去创建一个
Ian J. Goodfellow | Geoffrey Irving | Yangqing Jia | J. Dean | M. Devin | S. Ghemawat | M. Isard | R. Józefowicz | A. Jaffey | A. Harp
[1] Wray L. Buntine,et al. Computing second derivatives in feed-forward networks: a review , 1994, IEEE Trans. Neural Networks.
[2] Vikram S. Adve,et al. LLVM: a compilation framework for lifelong program analysis & transformation , 2004, International Symposium on Code Generation and Optimization, 2004. CGO 2004..
[3] Martin Odersky,et al. Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs , 2010, GPCE '10.
[4] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[5] Uwe Naumann,et al. The Art of Differentiating Computer Programs - An Introduction to Algorithmic Differentiation , 2012, Software, environments, tools.
[6] Frédo Durand,et al. Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines , 2013, PLDI 2013.
[7] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[8] Zheng Zhang,et al. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems , 2015, ArXiv.
[9] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[10] Vikram S. Adve,et al. HPVM: A Portable Virtual Instruction Set for Heterogeneous Parallel Systems , 2016, ArXiv.
[11] David A. Patterson,et al. In-datacenter performance analysis of a tensor processing unit , 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).