mkuchnik / PlumberApp
Repository to go along with the paper "Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines"
☆9Updated 2 years ago
Alternatives and similar repositories for PlumberApp:
Users that are interested in PlumberApp are comparing it to the libraries listed below
- DL Dataloader Benchmarks☆18Updated 4 months ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated 2 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 3 years ago
- ML Input Data Processing as a Service. This repository contains the source code for Cachew (built on top of TensorFlow).☆36Updated 4 months ago
- WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.☆18Updated 2 years ago
- Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies)…☆28Updated 3 years ago
- An Attention Superoptimizer☆20Updated 8 months ago
- Modyn is a research-platform for training ML models on growing datasets.☆38Updated this week
- [EMNLP 2024 Main] Virtual Personas for Language Models via an Anthology of Backstories☆23Updated last month
- A Distributed Multi-GPU System for Fast Graph Processing☆63Updated 6 years ago
- Serverless for all computation☆41Updated last year
- Distributed ML Optimizer☆30Updated 3 years ago
- Machine learning on serverless platform☆8Updated 2 years ago
- Runtime Tracing Library for TensorFlow☆43Updated 6 years ago
- ☆23Updated last year
- benchmarking some transformer deployments☆26Updated last year
- ☆44Updated last year
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆14Updated 5 years ago
- Cavs: An Efficient Runtime System for Dynamic Neural Networks☆13Updated 4 years ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆63Updated 2 years ago
- Exoshuffle-CloudSort☆24Updated last year
- An IR for efficiently simulating distributed ML computation.☆25Updated last year
- ☆16Updated 2 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 4 years ago
- ☆15Updated last year
- Hyperparameter tuning via uncertainty modeling☆46Updated 8 months ago
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Updated 2 years ago
- Repository for "Online Active Model Selection for Pre-trained ML Classifiers"☆15Updated last year
- PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…☆45Updated last year