nvidia-china-sae / WholeGraphLinks
☆11Updated 4 years ago
Alternatives and similar repositories for WholeGraph
Users that are interested in WholeGraph are comparing it to the libraries listed below
Sorting:
- ☆70Updated 4 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 5 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- WholeGraph - large scale Graph Neural Networks☆104Updated 7 months ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated last month
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Updated last year
- Distributed preprocessing and data loading for language datasets☆39Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆116Updated 7 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆82Updated last month
- LazyGCN☆9Updated 4 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆115Updated last year
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- Distributed DataLoader For Pytorch Based On Ray☆24Updated 3 years ago
- Research and development for optimizing transformers☆129Updated 4 years ago
- ICLR 2021☆48Updated 4 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆60Updated 2 years ago
- Large scale graph learning on a single machine.☆162Updated 4 months ago
- This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.☆38Updated last year
- ☆45Updated 2 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆47Updated 2 years ago
- ☆106Updated 10 months ago
- Large Scale Graphical Model☆24Updated 6 years ago
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16Updated 2 years ago
- A simple tool for parsing the profile.json file of mxnet☆14Updated 6 years ago
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆51Updated 2 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- ☆13Updated last year