Shi Dong

According to our database, Shi Dong authored at least 17 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

VCSR: An Efficient GPU Memory-Aware Sparse Format.

Elmira Karimi, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli

IEEE Trans. Parallel Distributed Syst., 2022

2021

Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.

Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli

IEEE Trans. Parallel Distributed Syst., 2021

GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs.

Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, José L. Abellán, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020

Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices.

Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli

Parallel Comput., 2020

Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.

Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth.

Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Vega: A Computer Vision Processing Enhancement Framework with Graph-based Acceleration.

Julian Gutierrez, Shi Dong, David R. Kaeli

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Summarizing CPU and GPU Design Trends with Product Data.

Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli

CoRR, 2019

MGPUSim: enabling multi-GPU performance modeling and optimization.

Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

MGSim + MGMark: A Framework for Multi-GPU System Research.

Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli

CoRR, 2018

Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs.

Shi Dong, Xiang Gong, Yifan Sun, Trinayan Baruah, David R. Kaeli

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Evaluating Performance Tradeoffs on the Radeon Open Compute Platform.

Yifan Sun, Saoni Mukherjee, Trinayan Baruah, Shi Dong, Julian Gutierrez, Prannoy Mohan, David R. Kaeli

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

Airavat: Improving energy efficiency of heterogeneous applications.

Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT).

Shi Dong, Zlatan Feric, Leiming Yu, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies.

Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Interactive Kernel Dimension Alternative Clustering on GPUs.

Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

DNNMark: A Deep Neural Network Benchmark Suite for GPUs.

Shi Dong, David R. Kaeli

Proceedings of the General Purpose GPUs, 2017