gpu computing

ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020 Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units ACL 2019 Balanced Sparsity for Efficient DNN Inference on GPU AAAI 2019 GPU-Based WFST Decoding with Extra Large Language Model Interspeech 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 Parallelizable Stack Long Short-Term Memory NAACL 2019 Tensor Monte Carlo: Particle Methods for the GPU era NeurIPS 2019 A GPU-based WFST Decoder with Exact Lattice Generation Interspeech 2018 Composing Finite State Transducers on GPUs ACL 2018 Geodesic Convolutional Shape Optimization ICML 2018 GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning CoRL 2018 GPU-Based Max Flow Maps in the Plane RSS 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018 Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018 APUNet: Revitalizing GPU as Packet Processing Accelerator NSDI 2017 Decoding with Finite-State Transducers on GPUs EACL 2017 Efficient softmax approximation for GPUs ICML 2017 Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU CVPR 2016 Fast Algorithms for Convolutional Neural Networks CVPR 2016 Efficient Training of LDA on a GPU by Mean-for-Mode Estimation ICML 2015 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs ICML 2014 Deep learning with COTS HPC systems ICML 2013