LightSeq: A High Performance Inference Library for Transformers

Author:

Wang Xiaohui,Xiong Ying,Wei Yang,Wang Mingxuan,Li Lei

Publisher

Association for Computational Linguistics

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TCP: A Tensor Contraction Processor for AI Workloads Industrial Product*;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

2. An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

3. FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20

4. Scalable Intent Recognition in Wargame Using Transformer;Lecture Notes in Electrical Engineering;2024

5. Optimizing Transformer Training Based on Computation and Accessing Memory Features with Deep Learning Processor;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

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