Jialin Liu

According to our database, Jialin Liu authored at least 27 papers between 2012 and 2021.

Collaborative distances:

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

2021

An empirical study of I/O separation for burst buffers in HPC systems.

Donghun Koo, Jaehwan Lee, Jialin Liu, Eun-Kyu Byun, Jae-Hyuck Kwak, Glenn K. Lockwood, Soonwook Hwang, Katie Antypas, Kesheng Wu, Hyeonsang Eom

J. Parallel Distributed Comput., 2021

2020

Segmented In-Advance Data Analytics for Fast Scientific Discovery.

Jialin Liu, Yong Chen

IEEE Trans. Cloud Comput., 2020

Reflector: a fine-grained I/O tracker for HPC systems.

Abdullah Al-Mamun, Jialin Liu, Tonglin Li, Quincey Koziol, Zhongyi Zhai, Junyan Qian, Haoting Shen, Dongfang Zhao

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

2019

CARS: A contention-aware scheduler for efficient resource management of HPC storage systems.

Weihao Liang, Yong Chen, Jialin Liu, Hong An

Parallel Comput., 2019

Etalumis: bringing probabilistic programming to scientific simulators at scale.

Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood

Proceedings of the International Conference for High Performance Computing, 2019

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.

Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tuning Object-Centric Data Management Systems for Large Scale Scientific Applications.

Houjun Tang, Suren Byna, Stephen Bailey, Zarija Lukic, Jialin Liu, Quincey Koziol, Bin Dong

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2018

Evaluation of HPC Application I/O on Object Storage Systems.

Jialin Liu, Quincey Koziol, Gregory F. Butler, Neil Fortner, Mohamad Chaarawi, Houjun Tang, Suren Byna, Glenn K. Lockwood, Ravi Cheema, Kristy A. Kallback-Rose, Damian Hazen, Prabhat

Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

DVM: Scaling Out Virtual Memory in Userspace.

Abdullah Al-Mamun, Ke Wang, Jialin Liu, Dongfang Zhao

Proceedings of the 47th International Conference on Parallel Processing, 2018

Contention-Aware Resource Scheduling for Burst Buffer Systems.

Weihao Liang, Yong Chen, Jialin Liu, Hong An

Proceedings of the 47th International Conference on Parallel Processing, 2018

Toward Scalable and Asynchronous Object-Centric Data Management for HPC.

Houjun Tang, Suren Byna, Francois Tessier, Teng Wang, Bin Dong, Jingqing Mu, Quincey Koziol, Jérome Soumagne, Venkatram Vishwanath, Jialin Liu, Richard Warren

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

ArrayUDF: User-Defined Scientific Data Analysis on Arrays.

Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu

Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

SoMeta: Scalable Object-Centric Metadata Management for High Performance Computing.

Houjun Tang, Suren Byna, Bin Dong, Jialin Liu, Quincey Koziol

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.

Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat

CoRR, 2016

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures.

Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies.

Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Collective input/output under memory constraints.

Yin Lu, Yong Chen, Yu Zhuang, Jialin Liu, Rajeev Thakur

Int. J. High Perform. Comput. Appl., 2015

Hierarchical Collective I/O Scheduling for High-Performance Computing.

Jialin Liu, Yu Zhuang, Yong Chen

Big Data Res., 2015

Collective Computing for Scientific Big Data Analysis.

Jialin Liu, Yong Chen, Surendra Byna

Proceedings of the 44th International Conference on Parallel Processing Workshops, 2015

2014

Model-Driven Data Layout Selection for Improving Read Performance.

Jialin Liu, Surendra Byna, Bin Dong, Kesheng Wu, Yong Chen

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Using Working Set Reorganization to Manage Storage Systems with Hard and Solid State Disks.

Junjie Chen, Jialin Liu, Philip C. Roth, Yong Chen

Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

In-advance data analytics for reducing time to discovery.

Jialin Liu, Yin Lu, Yong Chen

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Hierarchical I/O Scheduling for Collective I/O.

Jialin Liu, Yong Chen, Yi Zhuang

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

Locality-driven high-level I/O aggregation for processing scientific datasets.

Jialin Liu, Bradly Crysler, Yin Lu, Yong Chen

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Segmented analysis for reducing data movement.

Jialin Liu, Surendra Byna, Yong Chen

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Improving Data Analysis Performance for High-Performance Computing with Integrating Statistical Metadata in Scientific Datasets.

Jialin Liu, Yong Chen

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Fast Data Analysis with Integrated Statistical Metadata in Scientific Datasets.

Jialin Liu, Yong Chen

Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012