Infrastructure builder
Yanping Huang
Co-developed GPipe pipeline parallelism, enabling training of models too large for a single accelerator.
Works in the archive (2) · lead author on 1
- LeadGPipe: Efficient Training of Giant Neural Networks Using Pipeline Parallelism · 2019
- GLaM: Efficient Scaling with Mixture-of-Experts · 2022
“Lead” marks the first-listed author — a byline fact, not a measure of influence; co-authorship is shown as recorded.
Co-authors in the archive
View co-author network (5 people)
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