# OSDI 2023

## Meta Info

17th USENIX Symposium on Operating Systems Design and Implementation

Homepage: <https://www.usenix.org/conference/osdi23>

Paper List: <https://www.usenix.org/conference/osdi23/technical-sessions>

## Papers

### Distributed Serving

* [AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving](https://www.usenix.org/conference/osdi23/presentation/li-zhouhan)

### DL Compiler

* [Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning](https://www.usenix.org/conference/osdi23/presentation/zhang-chen)
* [Welder: Scheduling Deep Learning Memory Access via Tile-graph](https://www.usenix.org/conference/osdi23/presentation/shi)
* [Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators](https://www.usenix.org/conference/osdi23/presentation/zhao)
* [EINNET: Optimizing Tensor Programs with Derivation-Based Transformations](https://www.usenix.org/conference/osdi23/presentation/zheng)

### Hyper-parameter Tuning

* [Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters](https://www.usenix.org/conference/osdi23/presentation/hu)

### GNN

* [MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms](https://www.usenix.org/conference/osdi23/presentation/wang-yuke)

### MoE

* [Optimizing Dynamic Neural Networks with Brainstorm](https://www.usenix.org/conference/osdi23/presentation/cui)

### DLRM

* [AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models](https://www.usenix.org/conference/osdi23/presentation/lai)


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