stanford-mast / INFaaS
Model-less Inference Serving
☆88Updated last year
Alternatives and similar repositories for INFaaS:
Users that are interested in INFaaS are comparing it to the libraries listed below
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 2 years ago
- Fine-grained GPU sharing primitives☆141Updated 5 years ago
- ☆82Updated 2 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆153Updated 4 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆128Updated 9 months ago
- A Deep Learning Cluster Scheduler☆37Updated 4 years ago
- ☆48Updated 4 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- ☆37Updated 3 years ago
- ☆49Updated 2 years ago
- An experimental parallel training platform☆54Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆62Updated 2 years ago
- SOTA Learning-augmented Systems☆36Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated 11 months ago
- Analyze network performance in distributed training☆18Updated 4 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 8 months ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Updated 4 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 2 years ago
- An interference-aware scheduler for fine-grained GPU sharing☆133Updated 3 months ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆43Updated 2 years ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆42Updated 7 years ago
- ☆35Updated 4 years ago
- ☆53Updated 4 years ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆164Updated 6 months ago
- Helios Traces from SenseTime☆54Updated 2 years ago
- Multi-Instance-GPU profiling tool☆57Updated 2 years ago
- Artifacts for our NSDI'23 paper TGS☆75Updated 10 months ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆53Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- ☆42Updated 10 months ago