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This paper addresses imbalanced computation and memory in pipeline parallelism for large language models by partitioning vocabulary layers, reducing communication barriers, and achieving improved throughput and memory balance.
https://arxiv.org/abs//2411.05288
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
This paper addresses imbalanced computation and memory in pipeline parallelism for large language models by partitioning vocabulary layers, reducing communication barriers, and achieving improved throughput and memory balance.
https://arxiv.org/abs//2411.05288
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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