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1、Minseok Lee, December 17th2020 MERLIN HUGECTR: DEEP DIVE INTO PERFORMANCE OPTIMIZATION 2 NVIDIA MERLIN OPEN BETA Democratizing Large-Scale Deep Learning Recommenders 3 RELATED SESSIONS IN GTC CHINA Merlin:GPU加速的推荐系统框架 CNS20590 王泽寰, 英伟达亚太AI开发者技术解决方案经理,NVIDIA Merlin NVTabular: 基于GPU加速的推荐系统特征工程最佳实践 CNS
2、20624 黄孟迪,深度学习工程师,NVIDIA 使用GPU embedding cache加速CTR推理过程 CNS20626 郁凡,GPU计算专家,NVIDIA 将HugeCTR Embedding集成于TensorFlow CNS20377 董建兵, GPU计算专家,NVIDIA GPU加速的数据处理在推荐系统中的应用 CNS20813 魏英灿,GPU计算专家,NVIDIA Learn More About NVIDIA Merlin 4 HugeCTR Overview Brief introduction to HugeCTR architecture and pipeline Pe
3、rformance Optimization in HugeCTR Applied optimization techniques to improve end-to-end training performance with HugeCTR Evaluation & Getting Started Performance evaluation and HugeCTR quick start guide AGENDA 5 HUGECTR OVERVIEW 6 HUGECTR: SCALABLE, ACCELERATED TRAINING Highly efficient GPU framework and reference design dedicated for Click-Through-Rate (CTR) estimating training Designed for dist