dywsjtu / apparateLinks
Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]
☆25Updated last year
Alternatives and similar repositories for apparate
Users that are interested in apparate are comparing it to the libraries listed below
Sorting:
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- ☆25Updated 2 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆46Updated 3 years ago
- ☆16Updated 8 months ago
- Medusa: Accelerating Serverless LLM Inference with Materialization [ASPLOS'25]☆40Updated 7 months ago
- ☆56Updated 4 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆57Updated last year
- Deferred Continuous Batching in Resource-Efficient Large Language Model Serving (EuroMLSys 2024)☆19Updated last year
- SOTA Learning-augmented Systems☆37Updated 3 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆133Updated last year
- ☆16Updated last year
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆64Updated last year
- An Attention Superoptimizer☆22Updated 11 months ago
- ☆15Updated 3 years ago
- Vector search with bounded performance.☆35Updated last year
- A framework for generating realistic LLM serving workloads☆94Updated 3 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆75Updated 2 months ago
- ☆14Updated 3 years ago
- ☆81Updated 2 months ago
- ☆29Updated last year
- Source code for OSDI 2023 paper titled "Cilantro - Performance-Aware Resource Allocation for General Objectives via Online Feedback"☆40Updated 2 years ago
- ☆70Updated 2 months ago
- ☆72Updated 3 months ago
- Stateful LLM Serving☆93Updated 9 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆33Updated 10 months ago
- Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction | A tiny BERT model can tell you the verbosity of an …☆48Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Updated 3 years ago
- A resilient distributed training framework☆96Updated last year
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆44Updated 3 years ago