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Supercomputing Frontiers: 4th Asian Conference, SCFA 2018, Singapore, March 26-29, 2018, Proceedings
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On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process
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Iwase, Shun
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Takahashi, Shuya
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Inoue, Nakamasa
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Yokota, Rio
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Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
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Nakamura, Taishi
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Akiba, Takuya
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Fujii, Kazuki
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An inherently parallel H2-ULV factorization for solving dense linear systems on GPUs
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Ma, Qianxiang
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Yokota, Rio
The International Journal of High Performance Computing Applications, Volume 38, Issue 4, 2024
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Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs
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Saito, Koshiro
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Ohi, Masanari
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Lion Cub: Minimizing Communication Overhead in Distributed Lion
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SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers
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Chen, Peng
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Liu, Xin
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Dryden, Nikoli
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Balancing Speed and Stability: The Trade-offs of FP8 vs. BF16 Training in LLMs
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Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator
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Variational Low-Rank Adaptation Using IVON
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Cong, Bai
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Daheim, Nico
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Shen, Yuesong
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Khan, Mohammad Emtiyaz
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