TFS is designed with the following goals in mind: Concurrent TFS contains very few locks and aims to be as suitable for multithreaded systems as possible. It makes use of multiple truly concurrent structures to manage the data, and scales linearly by the number of cores. This is perhaps the most important feature of TFS. Asynchronous TFS is asynchronous: operations can happen independently; writes
9. NIPS’17 Workshop: DL at Supercomputer Scale • 1:30 - 1:50 - Azalia Mirhoseini - “Learning Device Placement” • 1:50 - 2:10 - Gregory Diamos - “Scaling and Sparsity” • 2:10 - 2:30 - Scott Gray - “Small World Network Architectures” • 2:30 - 2:50 - Timothy Lillicrap - “Scalable RL & AlphaGo” • 3:20 - 3:40 - Thorsten Kurth - “Scaling Deep Learning to 15 PetaFlops” • 3:40 - 4:00 - Simon Knowles - “Sc
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