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Traffic Pattern-Based Adaptive Routing for Intra-Group Communication in Dragonfly Networks.

, , , , , and . Hot Interconnects, page 19-26. IEEE Computer Society, (2016)

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Memory Usage Prediction of HPC Workloads Using Feature Engineering and Machine Learning., and . HPC Asia, page 64-74. ACM, (2023)Throughput Models of Interconnection Networks: The Good, the Bad, and the Ugly., , , , , and . Hot Interconnects, page 33-40. IEEE Computer Society, (2017)Random Regular Graph and Generalized De Bruijn Graph with k-Shortest Path Routing., , , , , and . IEEE Trans. Parallel Distributed Syst., 29 (1): 144-155 (2018)Rapid Calculation of Max-Min Fair Rates for Multi-Commodity Flows in Fat-Tree Networks., , , and . IEEE Trans. Parallel Distributed Syst., 29 (1): 156-168 (2018)Fast Calculation of Max-Min Fair Rates for Multi-commodity Flows in Fat-Tree Networks., , , and . CLUSTER, page 351-360. IEEE Computer Society, (2015)Load-Balanced Slim Fly Networks., , , and . ICPP, page 41:1-41:10. ACM, (2018)Optimizing k-path selection for randomized interconnection networks., and . HiPC, page 222-231. IEEE, (2021)A Comparative Study of Topology Design Approaches for HPC Interconnects., , , , , and . CCGrid, page 392-401. IEEE Computer Society, (2018)A comparative study of SDN and adaptive routing on dragonfly networks., , , , and . SC, page 51. ACM, (2017)Traffic Pattern-Based Adaptive Routing for Intra-Group Communication in Dragonfly Networks., , , , , and . Hot Interconnects, page 19-26. IEEE Computer Society, (2016)