ACO-Optimized DRL Model for Energy-Efficient Resource Allocation in High-Performance Computing
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1488-9_11
Reference14 articles.
1. Feng G, Dong D, Zhao S, Lu Y (2023) GRAP: Group-level resource allocation policy for reconfigurable dragonfly network in HPC. In: Proceedings of the 37th International conference on supercomputing, pp 437–449
2. Abhishek MK, Rao DR, Subrahmanyam K (2022) Priority Queue-based framework for allocation of high-performance computing resources. In: IoT with smart systems: proceedings of ICTIS 2022, vol 2. Springer Nature, Singapore, pp 317–327
3. Fan Y, Lan Z, Rich P, Allcock W, Papka ME (2022) Hybrid workload scheduling on HPC systems. In: IEEE International parallel and distributed processing symposium (IPDPS), pp 470–480
4. Vitali G, Scionti A, Viviani P, Vercellino C, Terzo O (2022) Dynamic job allocation on federated cloud-HPC environments. In: Computational intelligence in security for information systems conference. Springer International Publishing, Cham, pp 71–82
5. Narantuya J, Shin JS, Park S, Kim J (2022) Multi-agent deep reinforcement learning-based resource allocation in HPC/AI converged cluster. Computers Mater Continua 72(3)
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