A core placement method using deep reinforcement learning is claimed to reduce communication cost and improve throughput for SNN training on many-core near-memory systems in unreleased simulator experiments.
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Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
A core placement method using deep reinforcement learning is claimed to reduce communication cost and improve throughput for SNN training on many-core near-memory systems in unreleased simulator experiments.