most citedMerlin HugeCTR: GPU-accelerated Recommender System Training and Inference

31 citations · 52 across the 3 of their papers we have counts for

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cs.DC2026

Scalable Training of Mixture-of-Experts Models with Megatron Core

Zijie Yan, Hongxiao Bai, Xin Yao +42

Scaling Mixture-of-Experts (MoE) training introduces systems challenges absent in dense models. Because each token activates only a subset of experts, this sparsity allows total pa…

cs.DC2022★ 31 cited

Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference

Joey Wang, Yingcan Wei, Minseok Lee +9

In this talk, we introduce Merlin HugeCTR. Merlin HugeCTR is an open source, GPU-accelerated integration framework for click-through rate estimation. It optimizes both training and…