An improvement method based on OrthoMCL by adding the domain information. - Xinyu Que; Fa Zhang 001; Shengzhong Feng; Bo Yuan; Zhiyong Liu 002 (BIOCOMP, 2008)

Cooperative server clustering for a scalable GAS model on petascale cray XT5 systems. - Weikuan Yu; Xinyu Que; Vinod Tipparaju; Richard L. Graham; Jeffrey S. Vetter (Comput. Sci. Res. Dev., 2010)

Network-Friendly One-Sided Communication through Multinode Cooperation on Petascale Cray XT5 Systems. - Xinyu Que; Weikuan Yu; Vinod Tipparaju; Jeffrey S. Vetter; Bin Wang 019 (CCGRID, 2011)

Virtual Topologies for Scalable Resource Management and Contention Attenuation in a Global Address Space Model on the Cray XT5. - Weikuan Yu; Vinod Tipparaju; Xinyu Que; Jeffrey S. Vetter (ICPP, 2011)

Hadoop acceleration through network levitated merge. - Yandong Wang; Xinyu Que; Weikuan Yu; Dror Goldenberg; Dhiraj Sehgal (SC, 2011)

Assessing the Performance Impact of High-Speed Interconnects on MapReduce. - Yandong Wang; Yizheng Jiao; Cong Xu; Xiaobing Li; Teng Wang 001; Xinyu Que; Cristian Cira; Bin Wang 019; Zhuo Liu; Bliss Bailey; Weikuan Yu (WBDB, 2012)

Runtime Techniques to Enable a Highly-Scalable Global Address Space Model for Petascale Computing. - Vinod Tipparaju; Edoardo Aprà; Weikuan Yu; Xinyu Que; Jeffrey S. Vetter (Int. J. Parallel Program., 2012)

HiCOO: Hierarchical cooperation for scalable communication in Global Address Space programming models on Cray XT systems. - Weikuan Yu; Xinyu Que; Vinod Tipparaju; Jeffrey S. Vetter (J. Parallel Distributed Comput., 2012)

Performance Analysis of Graph Algorithms on P7IH. - Xinyu Que; Fabio Checconi; Fabrizio Petrini (ISC, 2014)

Design and Evaluation of Network-Levitated Merge for Hadoop Acceleration. - Weikuan Yu; Yandong Wang; Xinyu Que (IEEE Trans. Parallel Distributed Syst., 2014)

Scalable Community Detection with the Louvain Algorithm. - Xinyu Que; Fabio Checconi; Fabrizio Petrini; John A. Gunnels (IPDPS, 2015)

Exploring network optimizations for large-scale graph analytics. - Xinyu Que; Fabio Checconi; Fabrizio Petrini; Xing Liu; Daniele Buono (SC, 2015)

Optimizing Sparse Linear Algebra for Large-Scale Graph Analytics. - Daniele Buono; John A. Gunnels; Xinyu Que; Fabio Checconi; Fabrizio Petrini; Tai-Ching Tuan; Chris Long (Computer, 2015)

Virtual Shuffling for Efficient Data Movement in MapReduce. - Weikuan Yu; Yandong Wang; Xinyu Que; Cong Xu (IEEE Trans. Computers, 2015)

Optimizing Sparse Matrix-Vector Multiplication for Large-Scale Data Analytics. - Daniele Buono; Fabrizio Petrini; Fabio Checconi; Xing Liu; Xinyu Que; Chris Long; Tai-Ching Tuan (ICS, 2016)

Subgraph Counting: Color Coding Beyond Trees. - Venkatesan T. Chakaravarthy; Michael Kapralov; Prakash Murali; Fabrizio Petrini; Xinyu Que; Yogish Sabharwal; Baruch Schieber (IPDPS, 2016)

An Early Performance Study of Large-Scale POWER8 SMP Systems. - Xing Liu; Daniele Buono; Fabio Checconi; Jee W. Choi; Xinyu Que; Fabrizio Petrini; John A. Gunnels; Jeff Stuecheli (IPDPS, 2016)

Performance Analysis of Spark/GraphX on POWER8 Cluster. - Xinyu Que; Lars Schneidenbach; Fabio Checconi; Carlos H. A. Costa; Daniele Buono (ISC Workshops, 2016)

Data Analytics with NVLink: An SpMV Case Study. - Daniele Buono; Fausto Artico; Fabio Checconi; Jee W. Choi; Xinyu Que; Lars Schneidenbach (Conf. Computing Frontiers, 2017)

Horizon: a multi-abstraction framework for graph analytics. - Adnan Haider; Fabio Checconi; Xinyu Que; Lars Schneidenbach; Daniele Buono; Xian-He Sun (CF, 2018)

Software-Hardware Managed Last-level Cache Allocation Scheme for Large-Scale NVRAM-Based Multicores Executing Parallel Data Analytics Applications. - Masab Ahmad; Halit Dogan; Fabio Checconi; Xinyu Que; Daniele Buono; Omer Khan (IPDPS, 2018)

Preparation and optimization of a diverse workload for a large-scale heterogeneous system. - Ian Karlin; Yoonho Park; Bronis R. de Supinski; Peng Wang; Bert Still; David Beckingsale; Robert Blake; Tong Chen 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 2019)

Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning. - Sarunya Pumma; Daniele Buono; Fabio Checconi; Xinyu Que; Wu-chun Feng (CCGRID, 2020)

Improvements in Precision of Relative Binding Free Energy Calculations Afforded by the Alchemical Enhanced Sampling (ACES) Approach. - Hsu-Chun Tsai; James Xu; Zhenyu Guo; Yinhui Yi; Chuan Tian; Xinyu Que; Timothy J. Giese; Tai-Sung Lee; Darrin M. York; Abir Ganguly; Albert C. Pan (J. Chem. Inf. Model., 2024)