gajagajago / deepshare
Network Contention-Aware Cluster Scheduling with Reinforcement Learning (IEEE ICPADS 2023)
☆15Updated 4 months ago
Alternatives and similar repositories for deepshare:
Users that are interested in deepshare are comparing it to the libraries listed below
- ☆103Updated last year
- "JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs" (EuroSys '25)☆12Updated 3 weeks ago
- ☆12Updated 4 months ago
- ☆25Updated 2 years ago
- Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)☆55Updated 10 months ago
- ☆25Updated 6 years ago
- Official Github repository for the SIGCOMM '24 paper "Accelerating Model Training in Multi-cluster Environments with Consumer-grade GPUs"☆60Updated 7 months ago
- ☆45Updated 5 months ago
- ☆24Updated last year
- (ICPP '20) ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference☆12Updated 4 years ago
- Welcome to PeriFlow CLI ☁︎☆12Updated last year
- ☆15Updated 3 years ago
- ☆35Updated 7 months ago
- LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale☆83Updated last month
- Helios Traces from SenseTime☆53Updated 2 years ago
- ☆44Updated last month
- Tiresias is a GPU cluster manager for distributed deep learning training.☆151Updated 4 years ago
- Know Your Enemy To Save Cloud Energy: Energy-Performance Characterization of Machine Learning Serving (HPCA '23)☆13Updated last month
- FastFlow is a system that automatically detects CPU bottlenecks in deep learning training pipelines and resolves the bottlenecks with dat…☆26Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆10Updated 11 months ago
- ☆185Updated 5 years ago
- SOTA Learning-augmented Systems☆34Updated 2 years ago
- ☆37Updated 3 years ago
- ☆15Updated last year
- FriendliAI Model Hub☆89Updated 2 years ago
- ☆48Updated 2 years ago
- Dotfile management with bare git☆19Updated this week
- A Deep Learning Cluster Scheduler☆37Updated 4 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆126Updated 6 months ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆42Updated 7 years ago