Distributed, Parallel, and Cluster Computing · Computer Science
Synkhronos: a Multi-GPU Theano Extension for Data Parallelism
Adam Stooke, Pieter Abbeel
2017-10-13
Symbolic Computation · Computer Science
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi +109
2016-05-10
Distributed, Parallel, and Cluster Computing · Computer Science
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs
Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran
2020-05-29
Machine Learning · Computer Science
Comparative Study of Deep Learning Software Frameworks
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah
2016-03-31
Distributed, Parallel, and Cluster Computing · Computer Science
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Shaohuai Shi, Qiang Wang, Xiaowen Chu
2018-08-21
Computer Vision and Pattern Recognition · Computer Science
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
Chaim Baskin, Natan Liss, Evgenii Zheltonozhskii, Alex M. Bronshtein +1
2019-05-20
Computer Vision and Pattern Recognition · Computer Science
TResNet: High Performance GPU-Dedicated Architecture
Tal Ridnik, Hussam Lawen, Asaf Noy, Emanuel Ben Baruch +2
2020-08-28
Distributed, Parallel, and Cluster Computing · Computer Science
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan +1
2019-10-23
Machine Learning · Computer Science
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines
Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie +3
2015-12-22
Computer Vision and Pattern Recognition · Computer Science
Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition
Moazam Soomro, Muhammad Ali Farooq, Rana Hammad Raza
2020-03-17
Machine Learning · Computer Science
Benchmarking GPU and TPU Performance with Graph Neural Networks
xiangyang Ju, Yunsong Wang, Daniel Murnane, Nicholas Choma +2
2022-10-25
Machine Learning · Computer Science
Multi-GPU Training of ConvNets
Omry Yadan, Keith Adams, Yaniv Taigman, Marc'Aurelio Ranzato
2014-02-20
Distributed, Parallel, and Cluster Computing · Computer Science
Benchmarking State-of-the-Art Deep Learning Software Tools
Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu
2017-02-20
Machine Learning · Computer Science
Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk +3
2015-06-02
Distributed, Parallel, and Cluster Computing · Computer Science
Large Scale Artificial Neural Network Training Using Multi-GPUs
Linnan Wang, Wei Wu, Jianxiong Xiao, Yang Yi
2015-11-16
Computer Vision and Pattern Recognition · Computer Science
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs
Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez, Jesús Pérez-Serrano +1
2018-08-02
Machine Learning · Computer Science
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang +1
2020-12-02
Distributed, Parallel, and Cluster Computing · Computer Science
Multi-GPU Graph Analytics
Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang +1
2017-03-02
Distributed, Parallel, and Cluster Computing · Computer Science
ChainerMN: Scalable Distributed Deep Learning Framework
Takuya Akiba, Keisuke Fukuda, Shuji Suzuki
2017-11-01
Machine Learning · Computer Science
Exploring the power of GPU's for training Polyglot language models
Vivek Kulkarni, Rami Al-Rfou', Bryan Perozzi, Steven Skiena
2014-04-16
Machine Learning · Computer Science
A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle
Michael Teti, William Edward Hahn, Shawn Martin, Christopher Teti +1
2018-10-16