Co-occurring keywords · papers mentioning both
Papers
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization
CVPR 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
NeurIPS 2023
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)
IJCAI 2023
GPU-accelerated Guided Source Separation for Meeting Transcription
Interspeech 2023
Efficient and Scalable Graph Pattern Mining on GPUs
OSDI 2022
F-coref: Fast, Accurate and Easy to Use Coreference Resolution
AACL 2022
Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation
AACL 2022
PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework
CVPR 2022
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
JMLR 2022
Bringing UMAP Closer to the Speed of Light with GPU Acceleration
AAAI 2021
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
OSDI 2021
Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes
CVPR 2021
GCN meets GPU: Decoupling “When to Sample” from “How to Sample”
NeurIPS 2020
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
NeurIPS 2020
ThunderGBM: Fast GBDTs and Random Forests on GPUs
JMLR 2020
Balanced Sparsity for Efficient DNN Inference on GPU
AAAI 2019
One-Shot Marginal MAP Inference in Markov Random Fields
UAI 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
NeurIPS 2019
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
AAAI 2019
Unleashing the Unused Potential of i-Vectors Enabled by GPU Acceleration
Interspeech 2019
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
EMNLP 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
NeurIPS 2018
NCRF++: An Open-source Neural Sequence Labeling Toolkit
ACL 2018
Snap ML: A Hierarchical Framework for Machine Learning
NeurIPS 2018
Fast Parallel Training of Neural Language Models
IJCAI 2017