DNNMark: A Deep Neural Network Benchmark Suite for GPUs. - Shi Dong 002; David R. Kaeli (GPGPU@PPoPP, 2017)

Interactive Kernel Dimension Alternative Clustering on GPUs. - Xiangyu Li 006; Chieh Wu; Shi Dong 002; Jennifer G. Dy; David R. Kaeli (ASONAM, 2018)

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. - Shi Dong 002; Zlatan Feric; Xiangyu Li 006; Sheikh Mokhlesur Rahman; Guangyu Li; Chieh Wu; April Z. Gu; Jennifer G. Dy; David R. Kaeli; John Meeker; Ingrid Y. Padilla; José Cordero; et al. (IEEE BigData, 2018)

An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT). - Shi Dong 002; Zlatan Feric; Leiming Yu; David R. Kaeli; John Meeker; Ingrid Y. Padilla; José Cordero; Carmen Velez Vega; Zaira Rosario; Akram Alshawabkeh (IEEE BigData, 2018)

Airavat: Improving energy efficiency of heterogeneous applications. - Trinayan Baruah; Yifan Sun 002; Shi Dong 002; David R. Kaeli; Norm Rubin (DATE, 2018)

Evaluating Performance Tradeoffs on the Radeon Open Compute Platform. - Yifan Sun 002; Saoni Mukherjee; Trinayan Baruah; Shi Dong 002; Julian Gutierrez 002; Prannoy Mohan; David R. Kaeli (ISPASS, 2018)

Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs. - Shi Dong 002; Xiang Gong; Yifan Sun 002; Trinayan Baruah; David R. Kaeli (ICPE, 2018)

MGSim + MGMark: A Framework for Multi-GPU System Research. - Yifan Sun 002; Trinayan Baruah; Saiful A. Mojumder; Shi Dong 002; Rafael Ubal; Xiang Gong; Shane Treadway; Yuhui Bao; Vincent Zhao; José L. Abellán; John Kim 001; Ajay Joshi; et al. (CoRR, 2018)

MGPUSim: enabling multi-GPU performance modeling and optimization. - Yifan Sun 002; Trinayan Baruah; Saiful A. Mojumder; Shi Dong 002; Xiang Gong; Shane Treadway; Yuhui Bao; Spencer Hance; Carter McCardwell; Vincent Zhao; Harrison Barclay; Amir Kavyan Ziabari; et al. (ISCA, 2019)

Summarizing CPU and GPU Design Trends with Product Data. - Yifan Sun 002; Nicolas Bohm Agostini; Shi Dong 002; David R. Kaeli (CoRR, 2019)

Vega: A Computer Vision Processing Enhancement Framework with Graph-based Acceleration. - Julian Gutierrez 002; Shi Dong 002; David R. Kaeli (HICSS, 2020)

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. - Shi Dong 002; 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; et al. (ICMLA, 2020)

Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. - Nicolas Bohm Agostini; Shi Dong 002; Elmira Karimi; Marti Torrents Lapuerta; José Cano 001; José L. Abellán; David R. Kaeli (SBAC-PAD, 2020)

Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. - Shi Dong 002; Pu Zhao 001; Xue Lin 001; David R. Kaeli (Parallel Comput., 2020)

GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. - Trinayan Baruah; Kaustubh Shivdikar; Shi Dong 002; Yifan Sun 002; Saiful A. Mojumder; Kihoon Jung; José L. Abellán; Yash Ukidave; Ajay Joshi; John Kim 001; David R. Kaeli (ISPASS, 2021)

Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. - Shi Dong 002; Yifan Sun 002; Nicolas Bohm Agostini; Elmira Karimi; Daniel Lowell; Jing Zhou; José Cano 001; José L. Abellán; David R. Kaeli (IEEE Trans. Parallel Distributed Syst., 2021)

VCSR: An Efficient GPU Memory-Aware Sparse Format. - Elmira Karimi; Nicolas Bohm Agostini; Shi Dong 002; David R. Kaeli (IEEE Trans. Parallel Distributed Syst., 2022)