PatrickGuo / MistifyLinks
☆10Updated 4 years ago
Alternatives and similar repositories for Mistify
Users that are interested in Mistify are comparing it to the libraries listed below
Sorting:
- Create tiny ML systems for on-device learning.☆20Updated 4 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Updated last year
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated 2 years ago
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆19Updated last year
- ☆15Updated last year
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆45Updated 2 years ago
- MobiSys#114☆22Updated 2 years ago
- ☆100Updated last year
- Surrogate-based Hyperparameter Tuning System☆27Updated 2 years ago
- This is a list of awesome edgeAI inference related papers.☆98Updated last year
- This repository contains code for the paper: Bergsma S., Zeyl T., Senderovich A., and Beck J. C., "Generating Complex, Realistic Cloud Wo…☆43Updated 3 years ago
- Source code for OSDI 2023 paper titled "Cilantro - Performance-Aware Resource Allocation for General Objectives via Online Feedback"☆40Updated 2 years ago
- ☆16Updated last year
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆43Updated last year
- Model-less Inference Serving☆92Updated last year
- Herald: Accelerating Neural Recommendation Training with Embedding Scheduling (NSDI 2024)☆23Updated last year
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆13Updated 4 months ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 9 months ago
- [ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li, Arash Nasr-Esfahany, Kevin Zha…☆24Updated 11 months ago
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆107Updated 3 years ago
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆18Updated 5 years ago
- A curated list of awesome projects and papers for AI on Mobile/IoT/Edge devices. Everything is continuously updating. Welcome contributio…☆42Updated 2 years ago
- ☆20Updated 3 years ago
- ☆25Updated 2 years ago
- ☆37Updated 2 months ago
- ☆16Updated last year
- ☆208Updated last year