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This paper presents the design of Glow, a machine learning compiler for heterogeneous hardware.
LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation
Chris Lattner and Vikram Adve · 2004
Earlier work this paper cites.
Vectorization in LLVM
Nadav Rotem and Arnold Schwaighofer · 2013
Earlier work this paper cites.
Halide: A Language and Compiler for Optimizing Parallelism, Locality, and Recomputation in Image Processing Pipelines
Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, and Saman Amarasinghe · 2013
Earlier work this paper cites.
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
TensorFlow: A System for Large-scale Machine Learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2016
Earlier work this paper cites.
Cntk: Microsoft’s open-source deep-learning toolkit
Frank Seide and Amit Agarwal · 2016
Cited alongside, same era.
Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Computer Architecture, Sixth Edition: A Quantitative Approach
John L. Hennessy and David A. Patterson · 2017
Cited alongside, same era.
Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
Cited alongside, same era.
https://www.tensorflow.org/performance/xla
XLA: Domain-specific compiler for linear algebra to optimizes tensorflow computations
Cited in the paper.
NNVM Compiler: Open Compiler for AI Frameworks
University of Washington Paul G. Allen School of Computer Science & Engineering, Amazon Web Service AI team, and DMLC open-source community · 2017
Later among the works it cites.
DLVM: A modern compiler infrastructure for deep learning systems
R. Wei, L. Schwartz, and V. Adve · 2017
Later among the works it cites.
TVM: End-to-End Optimization Stack for Deep Learning
T. Chen, T. Moreau, Z. Jiang, H. Shen, E. Yan, L. Wang, Y. Hu, L. Ceze, C. Guestrin, and A. Krishnamurthy · 2018
Closest in time.
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning
S. Cyphers, A. K. Bansal, A. Bhiwandiwalla, J. Bobba, M. Brookhart, A. Chakraborty, W. Constable, C. Convey, L. Cook, O. Kanawi, R. Kimball, J. Knight, N. Korovaiko, V. Kumar, Y. Lao, C. R. Lishka, J. Menon, J. Myers, S. Aswath Narayana, A. Procter, and T. J. Webb · 2018
Closest in time.
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
N. Vasilache, O. Zinenko, T. Theodoridis, P. Goyal, Z. DeVito, W. S. Moses, S. Verdoolaege, A. Adams, and A. Cohen · 2018
Closest in time.
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https://onnx.ai/
Onnx
Cited in the paper.
http://eigen.tuxfamily.org/
Eigen
Cited in the paper.
https://developer.nvidia.com/cudnn
NVIDIA cuDNN
Cited in the paper.
https://software.intel.com/en-us/mkl
Intel MKL
Cited in the paper.
https://developer.apple.com/swift/
Swift
Cited in the paper.
https://keras.io/
Keras: The Python Deep Learning library
Cited in the paper.