SJTU-IPADS / disbLinks
DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.
☆52Updated 10 months ago
Alternatives and similar repositories for disb
Users that are interested in disb are comparing it to the libraries listed below
Sorting:
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 3 years ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆94Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated last year
- ☆37Updated 3 years ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆61Updated last year
- SOTA Learning-augmented Systems☆36Updated 3 years ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆27Updated 4 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆59Updated last year
- ☆49Updated 5 months ago
- ☆50Updated 2 years ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- ☆23Updated 2 years ago
- ☆53Updated 4 years ago
- My paper/code reading notes in Chinese☆46Updated last week
- ☆22Updated last year
- ☆79Updated 2 years ago
- PerFlow-AI is a programmable performance analysis, modeling, prediction tool for AI system.☆19Updated last month
- ☆16Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆42Updated last year
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆49Updated 6 months ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆13Updated last year
- LLM serving cluster simulator☆106Updated last year
- ☆25Updated last year
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆177Updated 8 months ago
- Dynamic resources changes for multi-dimensional parallelism training☆25Updated 7 months ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆52Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆26Updated last year