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J-GLOBAL ID：201702260561844203
Reference number：17A0605950
異種AIエンジン統合クラウドの実現に向けたシステムソフトウェアFlow OSの構想
Author (5)：
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Material：
Volume：
2017
Issue：
OS-139
Page：
Vol.2017-OS-139,No.5,1-7 (WEB ONLY)
Publication year：
Feb. 22, 2017
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (3)：
JST classification
Category name(code) classified by JST.
Operating systems
, Artificial intelligence
, Computer networks
Reference (13)：
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Dean, J., Corrado, G., Monga, R., Chen, K., Devin, M., Mao, M., Senior, A., Tucker, P., Yang, K., Le, Q. V. et al.: Large scale distributed deep networks, Advances in Neural Information Processing Systems (NIPS), pp. 1223-1231 (2012).
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Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M. et al.: TensorFlow: A system for large-scale machine learning, 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI) (2016).
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Chilimbi, T. M., Suzue, Y., Apacible, J. and Kalyanaraman, K.: Project Adam: Building an Efficient and Scalable Deep Learning Training System., USENIX OSDI, Vol. 14, pp. 571-582 (2014).
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Li, M., Andersen, D. G., Park, J. W., Smola, A. J., Ahmed, A., Josifovski, V., Long, J., Shekita, E. J. and Su, B.-Y.: Scaling Distributed Machine Learning with the Parameter Server., USENIX OSDI, Vol. 14, pp. 583-598 (2014).
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Chen, Yu-Hsin and Krishna, Tushar and Emer, Joel and Sze, Vivienne: Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks, IEEE International Solid-State Circuits Conference, ISSCC 2016, Digest of Technical Papers, pp. 262-263 (2016).
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