facebookresearch / dlrm_datasetsLinks
Set of datasets for the deep learning recommendation model (DLRM).
☆47Updated 2 years ago
Alternatives and similar repositories for dlrm_datasets
Users that are interested in dlrm_datasets are comparing it to the libraries listed below
Sorting:
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆31Updated 11 months ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- http://vlsiarch.eecs.harvard.edu/research/recommendation/☆136Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- ☆109Updated 4 years ago
- ☆70Updated 4 years ago
- ☆40Updated 4 years ago
- ☆82Updated 2 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆85Updated 2 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆42Updated 2 years ago
- ☆30Updated last year
- An experimental parallel training platform☆54Updated last year
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 3 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- LLM serving cluster simulator☆109Updated last year
- A Factored System for Sample-based GNN Training over GPUs☆43Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- ☆75Updated 4 years ago
- Synthesizer for optimal collective communication algorithms☆116Updated last year
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆38Updated last year
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆89Updated 2 years ago
- ☆36Updated 3 months ago
- ☆39Updated 2 years ago