Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.
☆283Jun 9, 2025Updated 8 months ago
Alternatives and similar repositories for SysML-reading-list
Users that are interested in SysML-reading-list are comparing it to the libraries listed below
Sorting:
- 🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Mod…☆3,728Jul 25, 2025Updated 7 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 3 years ago
- Advanced Topics on Systems for X☆282Jul 10, 2024Updated last year
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆62Jul 1, 2022Updated 3 years ago
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 7 months ago
- NVIDIA device plugin for Kubernetes☆15Sep 9, 2019Updated 6 years ago
- CS294; AI For Systems and Systems For AI☆225Aug 30, 2019Updated 6 years ago
- General system research material (not limited to paper) reading notes.☆22Mar 17, 2021Updated 4 years ago
- Studying GPU Multi-tenancy☆11Jan 11, 2019Updated 7 years ago
- Switches for HIRE: Resource Scheduling for Data Center In-Network Computing☆13Jan 18, 2021Updated 5 years ago
- papers on scalable and efficient machine learning systems☆191Sep 28, 2018Updated 7 years ago
- High performance NCCL plugin for Bagua.☆15Sep 15, 2021Updated 4 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆295Feb 23, 2024Updated 2 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Nov 24, 2022Updated 3 years ago
- Dive into Deep Learning Compiler☆646Jun 19, 2022Updated 3 years ago
- 各种深度学习(DL)框架分布式训练,包括:Tensorflow、Tensorflow2、Pytorch、Chainer、Caffe、Mxnet ...☆22Aug 8, 2020Updated 5 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆137Jul 25, 2024Updated last year
- This is the (evolving) reading list for the seminar.☆62Nov 4, 2020Updated 5 years ago
- Tutorial code on how to build your own Deep Learning System in 2k Lines☆123Apr 11, 2017Updated 8 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,005Sep 19, 2024Updated last year
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- A curated list of awesome Distributed Deep Learning resources.☆439Jul 28, 2024Updated last year
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Apr 15, 2022Updated 3 years ago
- Function Message Interface (FMI): library for message-passing and collective communication for serverless functions.☆22Apr 16, 2024Updated last year
- A tensor-aware point-to-point communication primitive for machine learning☆284Dec 17, 2025Updated 2 months ago
- Resource-adaptive cluster scheduler for deep learning training.☆453Mar 5, 2023Updated 3 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,863Updated this week
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆41Oct 28, 2017Updated 8 years ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆64Jun 5, 2024Updated last year
- Analyze network performance in distributed training☆20Oct 20, 2020Updated 5 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆739Jan 26, 2023Updated 3 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆199Apr 27, 2022Updated 3 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆166May 7, 2020Updated 5 years ago
- Awesome resources for GPUs☆609Jul 1, 2023Updated 2 years ago
- ☆42Sep 8, 2023Updated 2 years ago
- Collective communications library with various primitives for multi-machine training.☆1,400Feb 12, 2026Updated 3 weeks ago
- The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes☆44Sep 15, 2021Updated 4 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Jan 9, 2023Updated 3 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆14Feb 2, 2020Updated 6 years ago