Chao Sun

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All published works

Action	Title	Year	Authors
+ PDF Chat	DISCO: Distributed Inference with Sparse Communications	2024	Minghai Qin Chao Sun Jaco Hofmann Dejan Vučinić
+ PDF Chat	TurboPy: A lightweight python framework for computational physics	2020	A. S. Richardson D. Gordon S. B. Swanekamp I. M. Rittersdorf P. E. Adamson O.S. Grannis G. Morgan A. Ostenfeld K.L. Phlips Chao Sun

Common Coauthors

Coauthor	Papers Together
O.S. Grannis	1
G. Morgan	1
S. B. Swanekamp	1
A. Ostenfeld	1
A. S. Richardson	1
I. M. Rittersdorf	1
K.L. Phlips	1
P. E. Adamson	1
D. Gordon	1
Minghai Qin	1
Jaco Hofmann	1
D. J. Watkins	1
Guangqi Tang	1
Dejan Vučinić	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Best Practices for Scientific Computing	2014	Greg Wilson D. A. Aruliah C. Titus Brown Neil Chue Hong M. Ryleigh Davis Richard Guy Steven H. D. Haddock Kathryn D. Huff Ian M. Mitchell Mark D. Plumbley	1
+ PDF Chat	The NumPy Array: A Structure for Efficient Numerical Computation	2011	Stéfan van der Walt Steven C. Colbert Gaël Varoquaux	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Proceedings of the 25th international conference on Machine learning - ICML '08	2008		1
+	AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks	2017	Alexander L. Gaunt Matthew Johnson Maik Riechert Daniel Tarlow Ryota Tomioka Dimitrios Vytiniotis Sam Webster	1
+	Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform	2018	Chi‐Chung Chen Chia-Lin Yang Hsiang-Yun Cheng	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks	2018	Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang	1
+ PDF Chat	Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices	2017	Surat Teerapittayanon Bradley McDanel H. T. Kung	1
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	1
+	Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism	2019	Mohammad Shoeybi Mostofa Patwary Raul Puri Patrick LeGresley Jared Casper Bryan Catanzaro	1
+ PDF Chat	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Mohammad Saeed Abrishami Massoud Pedram	1
+	XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training	2019	Lei Guan Wotao Yin Dongsheng Li Xicheng Lu	1
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	1
+	LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition	2020	Ramyad Hadidi Bahar Asgari Jiashen Cao Younmin Bae Da Eun Shim Hyojong Kim Sung Kyu Lim Michael S. Ryoo Hyesoon Kim	1
+ PDF Chat	Sparse Communication for Distributed Gradient Descent	2017	Alham Fikri Aji Kenneth Heafield	1
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	1
+ PDF Chat	Learned Gradient Compression for Distributed Deep Learning	2021	Lusine Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis	1
+ PDF Chat	Automatic Graph Partitioning for Very Large-scale Deep Learning	2021	Masahiro Tanaka Kenjiro Taura Toshihiro Hanawa Kentaro Torisawa	1
+ PDF Chat	DEFER: Distributed Edge Inference for Deep Neural Networks	2022	Arjun Parthasarathy Bhaskar Krishnamachari	1
+ PDF Chat	DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices	2022	Xueyu Hou Yongjie Guan Tao Han Ning Zhang	1
+	Nested Dithered Quantization for Communication Reduction in Distributed Training	2019	Afshin Abdi Faramarz Fekri	1
+	PipeDream: Fast and Efficient Pipeline Parallel DNN Training	2018	Aaron Harlap Deepak Narayanan Amar Phanishayee Vivek Seshadri Nikhil R. Devanur Greg Ganger Phil Gibbons	1
+ PDF Chat	SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems	2022	Xin Dong B. De Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li	1
+ PDF Chat	Optimization framework for splitting DNN inference jobs over computing networks	2023	Sehun Jung Hyang-Won Lee	1