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EP3663915
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EP Citations: EP3663915
| Cited in | Search | Type: | Patent literature | Publication No.: | US2018247197
[A] (TUCKER PAUL A [US], et al) [A] 1-14 * the whole document *; | Type: | Non-patent literature | Publication information: | [I] - Sayed Hadi Hashemi ET AL, "TicTac: Accelerating Distributed Deep Learning with Communication Scheduling", (20181004), URL: https://arxiv.org/pdf/1803.03288v2.pdf, (20200129), XP055663295 [I] 1-14 * abstract * * figures 1,3,4,5 * * page 1, column l, line 12 - line 20 * * page 1, column r, line 4 - line 15 * * page 2, column l, line 23 - line 30 * * page 2, column r, line 47 - line 55 * * page 3, column l, line 1 - line 35 * * page 4, column l, line 10 - line 25 * * page 4, column r, line 20 - line 45 * * page 5, column l, line 10 - line 55 * * page 5, column r, line 5 - line 55 * * page 7, column l, line 3 - line 20 * * page 8, column l, line 50 - line 57 * * page 8, column r, line 25 - line 45 * | Type: | Non-patent literature | Publication information: | [A] - Martin Abadi ET AL, "TensorFlow: A System for Large-Scale Machine Learning", Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI '16)., (20161104), URL: https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf, (20170711), XP055389572 [A] 1-14 * the whole document * | Type: | Non-patent literature | Publication information: | [A] - Mu Li ET AL, "Graph Partitioning via Parallel Submodular Approximation to Accelerate Distributed Machine Learning", (20150518), URL: https://arxiv.org/pdf/1505.04636.pdf, (20200120), XP055663297 [A] 1-14 * the whole document * |