icloud-ecnu / spotDNNLinks
spotDNN is a heterogeneity-aware spot instance provisioning framework to provide predictable performance for DDNN training workloads in the cloud.
☆15Updated 2 years ago
Alternatives and similar repositories for spotDNN
Users that are interested in spotDNN are comparing it to the libraries listed below
Sorting:
- Prophet is a predictable communication scheduling strategy to schedule the gradient transfer in an adequate order, with the aim of maximi…☆16Updated last year
- ebrowser, an energy-efficient and lightweight human interaction framework without degrading the user experience in mobile Web browsers.☆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
- ☆12Updated last year
- Reading paper list for iCloud group☆14Updated last month
- Opara is a lightweight and resource-aware DNN Operator parallel scheduling framework to accelerate the execution of DNN inference on GPUs…☆22Updated 8 months ago
- iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.☆38Updated last year
- Tetris, a model predictive control (MPC)-based container scheduling strategy to judiciously make migration decisions for long-running con…☆25Updated 8 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
- This repository is established to store personal notes and annotated papers during daily research.☆148Updated 3 weeks ago
- Curated collection of papers in machine learning systems☆401Updated 2 months ago
- Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation☆29Updated 2 months ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆55Updated 2 years ago
- An interference-aware scheduler for fine-grained GPU sharing☆145Updated 7 months ago
- Artifacts for our NSDI'23 paper TGS☆84Updated last year
- ☆304Updated last year
- Helios Traces from SenseTime☆57Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated last year
- ☆50Updated 8 months ago
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆119Updated 2 weeks ago
- ☆210Updated 3 months ago
- Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs). If you hav…☆22Updated 5 months ago
- Large Language Model (LLM) Serving Paper and Resource List☆24Updated 3 months ago
- Simulating Distributed Training at Scale☆14Updated last month
- ☆21Updated 2 years ago
- ☆11Updated last year
- ☆18Updated 7 months ago
- ☆44Updated last year
- A Throughput-Optimized Pipeline Parallel Inference System for Large Language Models☆36Updated last month