Paper

Abstract

这里用来放读论文的笔记，写的不好还请见谅>_<|||

• BiS-KM: Enabling Any-Precision K-Means on FPGAs
• ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
• Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
• GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
• Mixed Precision Training
• FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding
• Softmax Acceleration with Adaptive Numeric Format for both Training and Inference

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最后更新: 2024年4月5日 00:24:16
创建日期: 2024年2月4日 19:47:15

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