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LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization., , , , and . CoRR, (2024)POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization., , , , and . PPoPP, page 460-462. ACM, (2024)Espresso: Revisiting Gradient Compression from the System Perspective., , , and . CoRR, (2022)CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs., , , , , , and . EuroSys, page 1054-1074. ACM, (2024)GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing., , , , , , , , , and 6 other author(s). J. Mach. Learn. Res., (2020)3D reconstruction of complex geometric solids from 2D line drawings., and . SIGGRAPH ASIA Posters, page 9. ACM, (2013)CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs., , , , , , and . CoRR, (2023)dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training., , , , , , , and . CoRR, (2022)Dive into Deep Learning for Natural Language Processing., , , , , , and . EMNLP/IJCNLP (2), Association for Computational Linguistics, (2019)SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training., , , , , , , and . NeurIPS, (2022)