Author

Gen-Lang Chen

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Preprint Sep 2026

Explicit State and Resource Contracts for Low-Precision Pipeline Parallel Training under Captured Graphs

CUDA Graphs eliminate launch overheads by replaying tensor operations over static virtual addresses. However, FP8 pipeline training continuously alters the scaling states, microbatches, and deferred backward tasks that those fixed addresses represent. Split-backward schedules (e.g., 1F1B, Zero-Bubble) decouple input-gr...

Gen-Lang Chen, Jun-Yi Zhu · 1 citation

Preprint Sep 2026

SemBridge: Compiling Consumer Observations into Cross-Stack Communication Plans

SemBridge establishes consumer observation as a semantic layer between placement and collective execution at a boundary between vendor runtimes that cannot share a native communicator.

Gen-Lang Chen, Jun-Yi Zhu, Yuan-Shan Lin · 0 citations

Preprint Sep 2026

Zero-I/O Fault Recovery for Sharded Deep Learning via Dynamic Framework Dependency Rebinding

AccelPact, a parallel runtime enabling zero-I/O in-memory fault recovery for sharded distributed training, and operates directly on native communicator instances, providing an efficient foundation for resilient deep learning.

Gen-Lang Chen, Jun-Yi Zhu · 0 citations