MachineLearningSystem / 25ASPLOS-MedusaLinks
Medusa: Accelerating Serverless LLM Inference with Materialization [ASPLOS'25]
☆12Updated last year
Alternatives and similar repositories for 25ASPLOS-Medusa
Users that are interested in 25ASPLOS-Medusa are comparing it to the libraries listed below
Sorting:
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆74Updated 2 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55Updated last year
- A framework for generating realistic LLM serving workloads☆93Updated 2 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆64Updated last year
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆141Updated last month
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆102Updated 3 years ago
- LLM serving cluster simulator☆127Updated last year
- ☆69Updated last month
- ☆126Updated last year
- Compiler for Dynamic Neural Networks☆46Updated 2 years ago
- An interference-aware scheduler for fine-grained GPU sharing☆154Updated last month
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆226Updated 5 months ago
- This repository is established to store personal notes and annotated papers during daily research.☆169Updated last week
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆12Updated last year
- ☆79Updated 3 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆133Updated last year
- Stateful LLM Serving☆91Updated 9 months ago
- Medusa: Accelerating Serverless LLM Inference with Materialization [ASPLOS'25]☆40Updated 7 months ago
- ☆58Updated 6 months ago
- NEO is a LLM inference engine built to save the GPU memory crisis by CPU offloading☆73Updated 6 months ago
- ☆53Updated last year
- ☆80Updated 2 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆33Updated 10 months ago
- ☆28Updated last year
- ☆38Updated 6 months ago
- [NeurIPS 2025] ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive☆51Updated 2 weeks ago
- ☆23Updated 2 years ago
- ☆83Updated 3 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆66Updated last year