timlee0212 / SiDA-MoE
Code for MLSys 2024 Paper "SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models"
☆15Updated 10 months ago
Alternatives and similar repositories for SiDA-MoE:
Users that are interested in SiDA-MoE are comparing it to the libraries listed below
- Stateful LLM Serving☆46Updated 6 months ago
- An experimental parallel training platform☆54Updated 10 months ago
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆17Updated last year
- ☆83Updated 3 months ago
- ☆50Updated 8 months ago
- ☆24Updated last year
- A resilient distributed training framework☆88Updated 10 months ago
- Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"☆28Updated 11 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆39Updated 3 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆145Updated 4 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆112Updated last year
- LLM serving cluster simulator☆92Updated 9 months ago
- Curated collection of papers in MoE model inference☆64Updated this week
- ☆77Updated last month
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆20Updated 9 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆145Updated 5 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆60Updated 8 months ago
- ☆87Updated 4 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- Artifacts for our ASPLOS'23 paper ElasticFlow☆53Updated 9 months ago
- High performance Transformer implementation in C++.☆103Updated last month
- nnScaler: Compiling DNN models for Parallel Training☆93Updated last week
- ☆72Updated 3 years ago
- InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)☆107Updated 7 months ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆18Updated 2 months ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆22Updated 3 months ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆48Updated 2 years ago
- ☆76Updated 2 years ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆78Updated 3 months ago