Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning

14 Jul 2020Shauharda KhadkaEstelle AflaloMattias MarderAvrech Ben-DavidSantiago MiretHanlin TangShie MannorTamir HazanSomdeb Majumdar

As modern neural networks have grown to billions of parameters, meeting tight latency budgets has become increasingly challenging. Approaches like compression, sparsification and network pruning have proven effective to tackle this problem - but they rely on modifications of the underlying network... (read more)

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