Zhi Yang
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| title | conference | date |
|---|---|---|
| DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training | 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26) | 2026-07-13 |
DynaRL claims a system that reclaims idle GPUs and reallocates them online using a dynamic hypergraph + a unified interrupt and migrate APIs, with three… | ||
| PipeThreader: Software-Defined Pipelining for Efficient DNN Execution | OSDI '25 | 2025-07-07 |
A compiler shifts pipeline scheduling from hardware to software, exposing tile-level tasks and heterogeneous units to generate efficient DNN pipelines. It… | ||
| Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning | OSDI 2023 | 2023-07-10 |
OSDI '23 - Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
Chen Zhang, Tsinghua University, Lingxiao Ma, Microsoft Research, Jilong… | ||
| Welder: Scheduling Deep Learning Memory Access via Tile-graph | OSDI 2023 | 2023-07-10 |
Welder is a deep-learning compiler that builds a tile-graph abstraction to connect operators at register/shared-memory levels and schedule tiling across… | ||
| NeuGraph: Parallel Deep Neural Network Computation on Large Graphs | USENIX ATC '19 | 2019-07-10 |
NeuGraph implements a TensorFlow-layer that fuses graph and dataflow models, adding trunk-based partitioning and a column-by-column scheduler, custom GPU… | ||
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