1. Martin Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Man Rajat Monga Sherry Moore Derek Murray Jon Shlens Benoit Steiner Ilya Sutskever Paul Tucker Vincent Vanhoucke Vijay Vasudevan Oriol Vinyals Pete Warden Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. http://download.tensorflow.org/paper/whitepaper2015.pdf Martin Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Man Rajat Monga Sherry Moore Derek Murray Jon Shlens Benoit Steiner Ilya Sutskever Paul Tucker Vincent Vanhoucke Vijay Vasudevan Oriol Vinyals Pete Warden Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. http://download.tensorflow.org/paper/whitepaper2015.pdf
2. Scaling towards kilo-core processors with asymmetric high-radix topologies
3. J. Ahn S. Hong S. Yoo O. Mutlu and K. Choi. 2015. A scalable processing-in-memory accelerator for parallel graph processing 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA). 105--117. 10.1145/2749469.2750386 J. Ahn S. Hong S. Yoo O. Mutlu and K. Choi. 2015. A scalable processing-in-memory accelerator for parallel graph processing 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA). 105--117. 10.1145/2749469.2750386