Deep learning· 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
On the reading lists
- #236 in the Top 500 (2026 edition)
- #30 in Deep learning (2026 edition)
Why it matters
Popularized practical intra-layer tensor parallelism for training multi-billion-parameter Transformers.
Condensed from the expert lists' notes.
The record
- First released
- 2019 (from arXiv 1909.08053)
- Citations
- 3,290 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Language, speech & LLMs
- Score
- 0.495 · computed rank 236 · consensus 0.82, must-read 0.5, citations percentile 0.57 (2010s · deep-learning), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.