Abstract:Recent years have witnessed a growing list of systems for distributed data-parallel training. Existing systems largely fit into two paradigms, i.e., parameter server and MPI-style collective operations. On the algorithmic side, researchers have proposed a wide range of techniques to lower the communication via "system relaxations":
quantization, decentralization,
and
communication delay.
However, most, if not all, existing systems only rely on standard synchronou… Show more
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