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Tesseract: Parallelize the Tensor Parallelism Efficiently

Tesseract: Parallelize the Tensor Parallelism Efficiently

30 May 2021
Boxiang Wang
Qifan Xu
Zhengda Bian
Yang You
    VLM
    GNN
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Papers citing "Tesseract: Parallelize the Tensor Parallelism Efficiently"

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
265
0
0
08 Jan 2025
Automated Tensor Model Parallelism with Overlapped Communication for
  Efficient Foundation Model Training
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training
Shengwei Li
Zhiquan Lai
Yanqi Hao
Weijie Liu
Ke-shi Ge
Xiaoge Deng
Dongsheng Li
KaiCheng Lu
21
10
0
25 May 2023
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
245
1,836
0
17 Sep 2019
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