Optimizing Performance of Recurrent Neural Networks on GPUs

7 April 2016

Papers citing "Optimizing Performance of Recurrent Neural Networks on GPUs"

12 / 12 papers shown

Title
Simple Recurrence Improves Masked Language Models Tao Lei Ran Tian Jasmijn Bastings Ankur P. Parikh 77 4 0 23 May 2022
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting Joaquín Delgado Fernández Sergio Potenciano Menci Chul Min Lee Gilbert Fridgen 28 53 0 17 Nov 2021
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 27 85 0 24 Oct 2021
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors G. Lambard Ekaterina Gracheva 19 20 0 20 Jun 2019
A Lightweight Recurrent Network for Sequence Modeling Biao Zhang Rico Sennrich 27 7 0 30 May 2019
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs Linpeng Tang Yida Wang Theodore L. Willke Kai Li GNN 11 22 0 16 Jul 2018
LSTM Benchmarks for Deep Learning Frameworks Stefan Braun 20 28 0 05 Jun 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 19 44 0 22 May 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 24 701 0 26 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 21 70 0 19 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 13 1,569 0 05 Feb 2018
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU Qingqing Cao Niranjan Balasubramanian A. Balasubramanian 18 61 0 03 Jun 2017