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Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous

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name:Man Yuan
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name:Li Tian
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name:Yong Li
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name:Wei Lin
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Tessera is a pipeline-parallel framework that profiles fine-grained, per-pair overlap schedules and uses those measured post-overlap costs to cut stages, then fills routing-induced idle slots at runtime. It addresses >50% all-to-all cost in Qwen-3 MoE by combining an overlap scheduler, an overlap-aware partitioner and a dynamic bubble optimizer that injects movable gradient tasks. Deployed at 4,096–12,288 GPUs, it raises throughput 20–33% (up to 39% MFU) and achieves up to 1.24× MFU vs Megatron-Core MoE.

AI-written summary · about

  1. 0:00Tessera pipeline parallelism
  2. 1:01Pipeline and expert parallelism
  3. 2:48Heterogeneous MoE bottlenecks
  4. 4:14Why traditional solutions fail
  5. 6:44Breaking planning cycle
  6. 8:31Handling MoE runtime variations
  7. 11:01Dynamic execution engine
  8. 12:29Production performance gains
  9. 15:44Summary and future
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