icloud-ecnu / ProphetLinks
Prophet is a predictable communication scheduling strategy to schedule the gradient transfer in an adequate order, with the aim of maximizing the GPU and network resource utilization.
☆16Updated 2 years ago
Alternatives and similar repositories for Prophet
Users that are interested in Prophet are comparing it to the libraries listed below
Sorting:
- ebrowser, an energy-efficient and lightweight human interaction framework without degrading the user experience in mobile Web browsers.☆12Updated 2 years ago
- spotDNN is a heterogeneity-aware spot instance provisioning framework to provide predictable performance for DDNN training workloads in t…☆15Updated 2 years ago
- ☆12Updated 2 years ago
- DelayStage is a simple yet effective stage delay scheduling strategy to interleave the cluster resources across the parallel stages, so a…☆14Updated 2 years ago
- iSpot is a lightweight and cost-effective instance provisioning framework for Directed Acyclic Graph (DAG)-style big data analytics, in …☆11Updated 2 years ago
- Reading paper list for iCloud group☆14Updated this week
- Tetris, a model predictive control (MPC)-based container scheduling strategy to judiciously make migration decisions for long-running con…☆25Updated 9 months ago
- Opara is a lightweight and resource-aware DNN Operator parallel scheduling framework to accelerate the execution of DNN inference on GPUs…☆23Updated 10 months ago
- λDNN is a cost-efficient function resource provisioning framework to minimize the monetary cost and guarantee the performance for DDNN tr…☆23Updated last year
- iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.☆38Updated last year
- Curated collection of papers in machine learning systems☆426Updated 2 weeks ago
- This repository is established to store personal notes and annotated papers during daily research.☆155Updated 2 weeks ago
- ☆23Updated 9 months ago
- ☆313Updated last year
- ☆13Updated 11 months ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆55Updated 2 years ago
- Large Language Model (LLM) Serving Paper and Resource List☆24Updated 5 months ago
- Paper reading and discussion notes, covering AI frameworks, distributed systems, cluster management, etc.☆23Updated 7 months ago
- ☆38Updated 3 months ago
- Simulating Distributed Training at Scale☆14Updated last month
- Curated collection of papers in MoE model inference☆285Updated last month
- Modular RDMA Interface☆46Updated this week
- ☆11Updated last year
- ☆52Updated 9 months ago
- Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs). If you hav…☆23Updated 7 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Updated 3 years ago
- ☆154Updated last year
- Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation☆37Updated 3 weeks ago
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆126Updated this week
- Summary of some awesome work for optimizing LLM inference☆120Updated 4 months ago