Thesys-lab / parity-modelsLinks
Learning-Based Coded Computation
☆47Updated 2 years ago
Alternatives and similar repositories for parity-models
Users that are interested in parity-models are comparing it to the libraries listed below
Sorting:
- ☆45Updated 3 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆44Updated 2 years ago
- ☆69Updated 2 years ago
- A Federated Execution Engine for Fast Distributed Computation Over Slow Networks☆26Updated 4 years ago
- The prototype for NSDI paper "NetHint: White-Box Networking for Multi-Tenant Data Centers"☆26Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated 2 years ago
- ☆8Updated 8 years ago
- Analyze network performance in distributed training☆18Updated 4 years ago
- Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes☆55Updated 2 years ago
- ☆38Updated 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
- Source code for OSDI 2023 paper titled "Cilantro - Performance-Aware Resource Allocation for General Objectives via Online Feedback"☆39Updated 2 years ago
- ☆81Updated 3 years ago
- This repository describes I/O traces of Google storage servers and disks synthesized by Thesios. Thesios synthesizes representative I/O t…☆24Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- ☆54Updated last year
- A rust-based benchmark for BlueField SmartNICs.☆28Updated 2 years ago
- ☆14Updated 3 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆42Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 7 months ago
- ☆54Updated 4 years ago
- 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
- [ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li, Arash Nasr-Esfahany, Kevin Zha…☆24Updated 9 months ago
- ☆41Updated 2 years ago
- ☆38Updated 4 years ago
- Molecule's artifact for ASPLOS'22☆29Updated 3 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Proactive-adaptive arbitration between shipping compute and shipping data☆18Updated 4 years ago