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Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable
  Tensor Collections

Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections

8 December 2023
Marcel Wagenlander
Guo Li
Bo Zhao
Luo Mai
Peter R. Pietzuch
ArXivPDFHTML

Papers citing "Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections"

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
107
0
0
08 Jan 2025
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
Sanjith Athlur
Nitika Saran
Muthian Sivathanu
R. Ramjee
Nipun Kwatra
GNN
28
79
0
07 Nov 2021
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