Shi Dong - RankMe

17 papers A* 1A 1B 4C 2Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	VCSR: An Efficient GPU Memory-Aware Sparse Format. IEEE Trans. Parallel Distributed Syst. Elmira Karimi, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli
2021	B	`conf`	GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS 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
2021	J	`jnl`	Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli
2020	C	`conf`	Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli
2020	J	`jnl`	Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli
2020	C	`conf`	Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA 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
2020	—	`conf`	Vega: A Computer Vision Processing Enhancement Framework with Graph-based Acceleration. HICSS Julian Gutierrez, Shi Dong, David R. Kaeli
2019	A*	`conf`	MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA 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
2019	J	`jnl`	Summarizing CPU and GPU Design Trends with Product Data. CoRR Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli
2018	—	`conf`	A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData 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
2018	A	`conf`	Airavat: Improving energy efficiency of heterogeneous applications. DATE Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin
2018	—	`conf`	An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT). IEEE BigData Shi Dong, Zlatan Feric, Leiming Yu, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh
2018	B	`conf`	Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs. ICPE Shi Dong, Xiang Gong, Yifan Sun, Trinayan Baruah, David R. Kaeli
2018	B	`conf`	Evaluating Performance Tradeoffs on the Radeon Open Compute Platform. ISPASS Yifan Sun, Saoni Mukherjee, Trinayan Baruah, Shi Dong, Julian Gutierrez, Prannoy Mohan, David R. Kaeli
2018	B	`conf`	Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli
2018	J	`jnl`	MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR 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
2017	—	`conf`	DNNMark: A Deep Neural Network Benchmark Suite for GPUs. GPGPU@PPoPP Shi Dong, David R. Kaeli