Optimizing Communication for Mixture-of-Experts Training with Hybrid Expert Parallel

In LLM training, Expert Parallel (EP) communication for hyperscale mixture-of-experts (MoE) models is challenging. EP communication is essentially all-to-all,…

In LLM training, Expert Parallel (EP) communication for hyperscale mixture-of-experts (MoE) models is challenging. EP communication is essentially all-to-all, but due to its dynamics and sparseness (only topk experts per AI token instead of all experts), it’s challenging to implement and optimize. This post details an efficient MoE EP communication solution, Hybrid-EP, and its use in the…

Source

Leave a Reply

Your email address will not be published.

Previous post Steam Controller re-review: A fresh look at Valve’s flawed but influential 10-year-old controller
Next post Bethesda keeps the Fallout remaster hopium flowing by putting Aaron Moten inside Fallout 3 and New Vegas