Ying1123 / llm-caching-multiplexing
☆20Updated last year
Alternatives and similar repositories for llm-caching-multiplexing:
Users that are interested in llm-caching-multiplexing are comparing it to the libraries listed below
- ☆19Updated last year
- An Attention Superoptimizer☆21Updated last month
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- ☆43Updated 7 months ago
- Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.☆27Updated last year
- A minimal implementation of vllm.☆33Updated 6 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆64Updated 2 months ago
- TensorRT LLM Benchmark Configuration☆13Updated 6 months ago
- Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"☆28Updated 11 months ago
- ☆50Updated 8 months ago
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆12Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆32Updated 8 months ago
- Elixir: Train a Large Language Model on a Small GPU Cluster☆13Updated last year
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆19Updated 11 months ago
- PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design (KDD 2025)☆17Updated 8 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆39Updated 3 months ago
- GPU operators for sparse tensor operations☆30Updated 11 months ago
- ☆16Updated 2 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated last year
- Implementation of Hyena Hierarchy in JAX☆10Updated last year
- EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).☆53Updated 8 months ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆22Updated 2 months ago
- ☆25Updated last year
- ☆92Updated 2 years ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆107Updated 2 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆64Updated 8 months ago
- How much energy do GenAI models consume?☆41Updated 4 months ago
- LLM Serving Performance Evaluation Harness☆68Updated this week