SJTU-IPADS / reef-artifactsLinks
A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.
☆43Updated 3 years ago
Alternatives and similar repositories for reef-artifacts
Users that are interested in reef-artifacts are comparing it to the libraries listed below
Sorting:
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆58Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆104Updated 3 years ago
- ☆26Updated 3 years ago
- ☆52Updated 3 years ago
- ☆38Updated 7 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- SOTA Learning-augmented Systems☆37Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55Updated last year
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆64Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆43Updated 2 years ago
- Compiler for Dynamic Neural Networks☆45Updated 2 years ago
- ☆53Updated last year
- ☆37Updated last year
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆34Updated last year
- ☆23Updated 2 years ago
- ☆56Updated 5 years ago
- ☆17Updated 3 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆68Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆76Updated 3 months ago
- An interference-aware scheduler for fine-grained GPU sharing☆159Updated 2 months ago
- ☆80Updated 3 weeks ago
- [ACM EuroSys 2023] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆56Updated 6 months ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Updated 3 years ago
- Medusa: Accelerating Serverless LLM Inference with Materialization [ASPLOS'25]☆41Updated 8 months ago
- A scheduling framework for multitasking over diverse XPUs, including GPUs, NPUs, ASICs, and FPGAs☆157Updated 3 weeks ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆93Updated 2 years ago
- ☆17Updated last year
- ☆41Updated 2 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆46Updated 3 years ago
- Model-less Inference Serving☆94Updated 2 years ago