Preprint
Aug 2026
MCHA: A Memory-Centric Hierarchical Architecture for Parallel-Sequential Computing
Emerging workloads, such as Multi-Agent Reinforcement Learning (MARL), large-scale neuromorphic computing, and probabilistic graphical models, intrinsically exhibit parallel-sequential computing patterns. While these tasks demand massive parallelism to achieve high throughput, they are severely bottlenecked by irregula...
Daijing Shi, Hongxiao Zhao, Yihan Fu et al.
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