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Book Open access Sep 2026

DASched: Dependency-Aware Scheduling for Multi-Stage Pipelines under Shared GPU Resources

Modern AI applications increasingly rely on multi-stage pipelines that link multiple computational stages into end-to-end workflows, such as video analytics, recommendation systems, and healthcare analysis. Existing serving systems optimize each stage in isolation, overlooking execution-level dependencies that arise wh...

Xue-Mei Peng, Ze-Yi Wen · 0 citations
Book Open access Sep 2026

TemplateGBM: Learning Gradient Boosting Decision Trees with Predefined Structures

Gradient boosting decision trees (GBDTs) are highly effective for tabular data, but their data-dependent and irregular tree construction limits mini-batch training, incremental updates, and efficient GPU execution. We present TemplateGBM, a GBDT learning framework that separates tree-structure selection from leaf-weigh...

Han-Feng Liu, Ze-Yi Wen · 0 citations

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