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UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow.

D. Huang, J. Yin, J. Wang, X. Zhang, J. Zhang, и J. Zhou. CloudCom-Asia, том 9106 из Lecture Notes in Computer Science, стр. 99-114. Springer, (2015)

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Jiangling Xu

Lu Yin

Renfu Yin

Yi Yin

Sheng Yin

Другие публикации лиц с тем же именем

Experiences in using os-level virtualization for block I/O.D. Huang, J. Wang, Q. Liu, J. Yin, X. Zhang, и X. Chen. PDSW@SC, стр. 13-18. ACM, (2015)Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems.J. Yin, J. Wang, J. Zhou, T. Lukasiewicz, D. Huang, и J. Zhang. IPDPS, стр. 623-632. IEEE Computer Society, (2015)PERP: Attacking the balance among energy, performance and recovery in storage systems.J. Zhang, Q. Wang, J. Yin, J. Zhou, и J. Wang. J. Parallel Distributed Comput., (2015)Accelerating I/O Performance of SVM on HDFS.M. Ye, J. Wang, J. Yin, и X. Zhang. CLUSTER, стр. 132-133. IEEE Computer Society, (2016)Taming Big Data Scheduling with Locality-Aware Scheduling.M. Ye, J. Wang, J. Yin, и D. Han. CBD, стр. 37-44. IEEE Computer Society, (2016)SDAFT: a novel scalable data access framework for parallel BLAST.J. Yin, J. Zhang, J. Wang, и W. chun Feng. DISCS@SC, стр. 1-6. ACM, (2013)DL-MPI: Enabling data locality computation for MPI-based data-intensive applications.J. Yin, A. Foran, и J. Wang. IEEE BigData, стр. 506-511. IEEE Computer Society, (2013)ScalScheduling: A Scalable Scheduling Architecture for MPI-based interactive analysis programs.J. Yin, A. Foran, X. Zhang, и J. Wang. ICCCN, стр. 1-8. IEEE, (2014)DataNet: A Data Distribution-Aware Method for Sub-Dataset Analysis on Distributed File Systems.J. Wang, J. Yin, J. Zhou, X. Zhang, и R. Wang. IPDPS, стр. 504-513. IEEE Computer Society, (2016)UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow.D. Huang, J. Yin, J. Wang, X. Zhang, J. Zhang, и J. Zhou. CloudCom-Asia, том 9106 из Lecture Notes in Computer Science, стр. 99-114. Springer, (2015)

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