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- W4285507276 abstract "Coded distributed computing was recently introduced to mitigate the effect of stragglers on distributed computing systems. This paper combines ideas of approximate and coded computing to further accelerate computation. We propose successive approximation coding (SAC) techniques that realize a tradeoff between accuracy and speed, allowing the distributed computing system to produce approximations that increase in accuracy over time. If a sufficient number of compute nodes finish their tasks, SAC exactly recovers the desired computation. We theoretically provide design guidelines for our SAC techniques, and numerically show that SAC achieves a better accuracy-speed tradeoff in comparison with previous methods." @default.
- W4285507276 created "2022-07-15" @default.
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- W4285507276 date "2022-06-01" @default.
- W4285507276 modified "2023-10-09" @default.
- W4285507276 title "Successive Approximation Coding for Distributed Matrix Multiplication" @default.
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- W4285507276 doi "https://doi.org/10.1109/jsait.2022.3190859" @default.
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