csu-eis / CoDL
☆75Updated last year
Alternatives and similar repositories for CoDL:
Users that are interested in CoDL are comparing it to the libraries listed below
- This is a list of awesome edgeAI inference related papers.☆92Updated last year
- ☆37Updated 3 years ago
- Multi-DNN Inference Engine for Heterogeneous Mobile Processors☆29Updated 6 months ago
- ☆194Updated last year
- ☆14Updated 6 months ago
- Multi-branch model for concurrent execution☆16Updated last year
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆21Updated 4 years ago
- The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]☆18Updated 2 years ago
- Model-less Inference Serving☆84Updated last year
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆24Updated 3 years ago
- ☆44Updated last month
- ☆17Updated last year
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 5 months ago
- ☆45Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆53Updated 9 months ago
- ☆39Updated 4 years ago
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆29Updated last year
- ☆48Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- ☆14Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆10Updated 11 months ago
- A Portable C Library for Distributed CNN Inference on IoT Edge Clusters☆81Updated 4 years ago
- ☆99Updated last year
- LLM serving cluster simulator☆92Updated 9 months ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆52Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆24Updated 2 years ago
- This repository is established to store personal notes and annotated papers during daily research.☆109Updated this week
- MobiSys#114☆21Updated last year