msr-fiddle / CoorDLLinks
☆24Updated last year
Alternatives and similar repositories for CoorDL
Users that are interested in CoorDL are comparing it to the libraries listed below
Sorting:
- ☆36Updated 4 years ago
- ☆23Updated 2 years ago
- ☆53Updated 4 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆33Updated 2 years ago
- ☆44Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated last year
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆128Updated 10 months ago
- ☆49Updated 2 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- ☆16Updated 2 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆43Updated 2 years ago
- Fine-grained GPU sharing primitives☆141Updated 5 years ago
- ☆25Updated last year
- Tiresias is a GPU cluster manager for distributed deep learning training.☆154Updated 5 years ago
- ☆49Updated 5 months ago
- ☆14Updated 3 years ago
- ☆34Updated 11 months ago
- ☆30Updated last year
- The source code of INFless,a native serverless platform for AI inference.☆38Updated 2 years ago
- ☆36Updated last year
- Helios Traces from SenseTime☆55Updated 2 years ago
- [ACM EuroSys '23] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆56Updated last year
- ☆47Updated 2 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 3 years ago
- PyTorch-UVM on super-large language models.☆15Updated 4 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- An experimental parallel training platform☆54Updated last year
- SOTA Learning-augmented Systems☆36Updated 3 years ago
- ☆15Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 9 months ago