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Published in International Conference on Parallel and Distributed Computing: Applications and Technologies, 2024
Enhancing automatic task mapping efficiency on NUMA machines.
Recommended citation: Yang Y, Zhou T, Xiao L, Yang C, Liu X, Hu M, Wu D. NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines. In: International Conference on Parallel and Distributed Computing: Applications and Technologies (pp. 441-453). Springer; 2024.
Published in 2025 IEEE 11th International Conference on High Performance and Smart Computing (HPSC), 2025
A deep reinforcement learning approach for multi-objective scheduling in heterogeneous HPC systems.
Recommended citation: Yang Y†, Xiao L†, Zhou T, Yang C, Liu X, Hu M. DRL-MOSHRS: A Deep Reinforcement Learning Approach for Multi-Objective Scheduling in Heterogeneous HPC Systems. In: International Conference on High Performance and Smart Computing. IEEE; 2025.
Published in 2025 IEEE 11th International Conference on High Performance and Smart Computing (HPSC), 2025
A heterogeneity-aware unified scheduling framework for diverse domain-specific applications in supercomputing environments.
Recommended citation: Zhou T, Yang Y, Yang C, Xiao L, Liu X, Hu M. TaskFlare: A Heterogeneity-aware Unified Scheduling Framework for Diverse Domain-Specific Applications in Supercomputing Environments. In: International Conference on High Performance and Smart Computing. IEEE; 2025.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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