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 3 years ago
- ☆16Updated last year
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- ☆14Updated 10 months ago
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Updated 3 years ago
- MobiSys#114☆21Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- This is a list of awesome edgeAI inference related papers.☆95Updated last year
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Updated last year
- ☆14Updated 3 years ago
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆19Updated 10 months ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated last year
- Code for reproducing experiments performed for Accoridon☆13Updated 4 years ago
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆106Updated 3 years ago
- ☆99Updated last year
- ☆19Updated 3 years ago
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆25Updated 4 years ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated last year
- ☆13Updated 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…☆26Updated 2 years ago
- Source code for Jellyfish, a soft real-time inference serving system☆13Updated 2 years ago
- ☆45Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated 2 years ago
- ☆9Updated 2 years ago
- ☆40Updated 4 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆12Updated last month
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆13Updated last year
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆44Updated 2 years ago
- ☆202Updated last year