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RTP: Rethinking Tensor Parallelism with Memory Deduplication

RTP: Rethinking Tensor Parallelism with Memory Deduplication

2 November 2023
Cheng Luo
Tianle Zhong
Geoffrey C. Fox
ArXivPDFHTML

Papers citing "RTP: Rethinking Tensor Parallelism with Memory Deduplication"

3 / 3 papers shown
Title
iServe: An Intent-based Serving System for LLMs
iServe: An Intent-based Serving System for LLMs
Dimitrios Liakopoulos
Tianrui Hu
Prasoon Sinha
N. Yadwadkar
VLM
95
0
0
08 Jan 2025
Efficient Training of Large Language Models on Distributed
  Infrastructures: A Survey
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey
Jiangfei Duan
Shuo Zhang
Zerui Wang
Lijuan Jiang
Wenwen Qu
...
Dahua Lin
Yonggang Wen
Xin Jin
Tianwei Zhang
Peng Sun
69
8
0
29 Jul 2024
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,815
0
17 Sep 2019
1