ruipeterpan / paper_notes
Personal blog + reading notes on system-ish papers
☆15Updated last year
Alternatives and similar repositories for paper_notes:
Users that are interested in paper_notes are comparing it to the libraries listed below
- Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆40Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆49Updated 2 years ago
- My paper/code reading notes in Chinese☆46Updated 10 months ago
- ☆16Updated 10 months ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 7 months ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- SOTA Learning-augmented Systems☆35Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated 10 months ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆22Updated 4 months ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆31Updated 2 years ago
- ☆49Updated 2 years ago
- ☆14Updated 2 years ago
- ☆24Updated last year
- ☆53Updated 4 years ago
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆77Updated 3 years ago
- Analyze network performance in distributed training☆18Updated 4 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 2 years ago
- ☆35Updated 4 years ago
- ☆24Updated last year
- ☆44Updated 3 years ago
- Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction | A tiny BERT model can tell you the verbosity of an …☆32Updated 9 months ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated last year
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 2 years ago
- Stateful LLM Serving☆50Updated 2 weeks ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆28Updated 4 months ago
- Reading seminar in Harvard Cloud Networking and Systems Group☆16Updated 2 years ago
- Deferred Continuous Batching in Resource-Efficient Large Language Model Serving (EuroMLSys 2024)☆14Updated 10 months ago