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Published 20 hours ago • verified publisher icon pentium3
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system paper reading notes

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Erlang: Application-Level Autoscaling for Cloud Microservices

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eurosys24

GMorph: Accelerating Multi-DNN Inference via Model Fusion

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eurosys24

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

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mlsys24

Punica: Multi-Tenant LoRA Serving

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mlsys24

HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices

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mlsys24

DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines

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mlsys24

Lancet: Accelerating Mixture-of-Experts Training by Overlapping Weight Gradient Computation and All-to-All Communication

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mlsys24

Subgraph stationary hardware-software inference co-design

https://proceedings.mlsys.org/paper_files/paper/2023/file/0e65cd5d77a5e8b2d1f9ab31ba50b49b-Paper-mlsys2023.pdf

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mlsys23

Tutel: Adaptive Mixture-of-Experts at Scale

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mlsys23

Pathways: Asynchronous Distributed Dataflow for ML

https://proceedings.mlsys.org/paper_files/paper/2022/hash/37385144cac01dff38247ab11c119e3c-Abstract.html

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mlsys22

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