☆25Apr 3, 2023Updated 3 years ago
Alternatives and similar repositories for vpipe
Users that are interested in vpipe are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Jan 12, 2022Updated 4 years ago
- ☆393Nov 4, 2022Updated 3 years ago
- ☆41Oct 12, 2020Updated 5 years ago
- ☆78May 4, 2021Updated 4 years ago
- FTPipe and related pipeline model parallelism research.☆44May 16, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repo contains the scripts used to create the data for the ATC2020 paper "Reconstructing proprietary video streaming algorithms"☆14Mar 24, 2021Updated 5 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Jul 21, 2021Updated 4 years ago
- ☆84Dec 2, 2022Updated 3 years ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Jan 8, 2022Updated 4 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆43Dec 29, 2023Updated 2 years ago
- ☆57Jan 25, 2021Updated 5 years ago
- Simian Process Oriented Conservative JIT PDES from LANL☆13Dec 12, 2025Updated 4 months ago
- DELTA-pytorch:DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation☆12Apr 16, 2024Updated last year
- ☆10Apr 29, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Privacy-Preserving Bandits (MLSys'20)☆22Dec 8, 2022Updated 3 years ago
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆19May 27, 2020Updated 5 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Dec 11, 2022Updated 3 years ago
- ☆19Feb 28, 2022Updated 4 years ago
- ☆47Dec 16, 2022Updated 3 years ago
- An experimental parallel training platform☆56Mar 25, 2024Updated 2 years ago
- CUDAAdvisor: a GPU profiling tool☆53Aug 24, 2018Updated 7 years ago
- ComScribe is a tool to identify communication among all GPU-GPU and CPU-GPU pairs in a single-node multi-GPU system.☆27Jul 6, 2023Updated 2 years ago
- Synthesizer for optimal collective communication algorithms☆123Apr 8, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆70Mar 20, 2025Updated last year
- ☆12Jan 5, 2025Updated last year
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16May 5, 2023Updated 2 years ago
- ☆30Oct 27, 2023Updated 2 years ago
- Implementation of a Tensorflow XLA rematerialization pass☆15Dec 20, 2019Updated 6 years ago
- ☆27Aug 31, 2023Updated 2 years ago
- ☆31Jul 18, 2019Updated 6 years ago
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Jan 4, 2021Updated 5 years ago
- Microsoft Collective Communication Library☆389Sep 20, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Backprop with Low-Precision Activations☆11Oct 28, 2019Updated 6 years ago
- Distributed Edge Inference for Deep Neural Networks☆19Feb 28, 2022Updated 4 years ago
- Privacy Budget Orchestration in Machine Learning Workloads (OSDI '21)☆26Oct 20, 2023Updated 2 years ago
- ☆32Aug 28, 2020Updated 5 years ago
- Deadline-based hyperparameter tuning on RayTune.☆32Jan 16, 2020Updated 6 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆28Dec 15, 2021Updated 4 years ago
- ☆22Apr 22, 2024Updated last year