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[QA] BALANCING PIPELINE PARALLELISM WITH VOCABULARY PARALLELISM
Manage episode 449599940 series 3524393
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1677 에피소드
Manage episode 449599940 series 3524393
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1677 에피소드
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