Author

Jia-Yi Li

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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. · 0 citations

Jul 2026

Beyond Prefill-Decode Disaggregation: Dissecting LLM Inference for Heterogeneous Platforms via Dynamic Operator Scheduling

DOPS (dynamic operator scheduling), a hardware-aware, closed-loop framework that jointly optimizes operator scheduling and blockwise weight layouts and supports systematic analysis of workload sensitivity and hardware scalability for LLM serving is presented.

Jiaqi Yang, Jia-Yi Li, Yihan Fu et al. · arXiv.org · 0 citations

Preprint Aug 2026

C2C-Explorer: An Exploration Framework for Chip-to-Chip Interconnect Architectures in LLM Cloud Computing Systems

C2C-Explorer is proposed, an adaptive Bayesian DSE framework that integrates a LLM-workload-driven traffic generator, a scalable interconnect simulator, and a metric-guided evaluator into a workload-to-hardware optimization pipeline, enabling systematic C2C architectural co-design under realistic LLM workloads.

Jia-Yi Li, Di Wu, Qingxu Li et al. · 0 citations