Jialin Liu

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 16

Top Topics

Matrix Factorization

Storage Systems

Top Venues

Publications

Donghun Koo, Jaehwan Lee, Jialin Liu, Eun-Kyu Byun, Jae-Hyuck Kwak, Glenn K. Lockwood, Soonwook Hwang, Katie Antypas, Kesheng Wu, Hyeonsang Eom
An empirical study of I/O separation for burst buffers in HPC systems. J. Parallel Distributed Comput. 148 (2021)
Jialin Liu, Yong Chen
Segmented In-Advance Data Analytics for Fast Scientific Discovery. IEEE Trans. Cloud Comput. 8 (2) (2020)
Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Alexander 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
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. CoRR (2019)
Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Alexander 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
Etalumis: bringing probabilistic programming to scientific simulators at scale. SC (2019)
Weihao Liang, Yong Chen, Jialin Liu, Hong An
CARS: A contention-aware scheduler for efficient resource management of HPC storage systems. Parallel Comput. 87 (2019)
Houjun Tang, Suren Byna, Stephen Bailey, Zarija Lukic, Jialin Liu, Quincey Koziol, Bin Dong
Tuning Object-Centric Data Management Systems for Large Scale Scientific Applications. HiPC (2019)
Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Alexander 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
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. NeurIPS (2019)
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
Evaluation of HPC Application I/O on Object Storage Systems. PDSW-DISCS@SC (2018)
Houjun Tang, Suren Byna, Francois Tessier, Teng Wang, Bin Dong, Jingqing Mu, Quincey Koziol, Jérome Soumagne, Venkatram Vishwanath, Jialin Liu, Richard Warren
Toward Scalable and Asynchronous Object-Centric Data Management for HPC. CCGrid (2018)
Weihao Liang, Yong Chen, Jialin Liu, Hong An
Contention-Aware Resource Scheduling for Burst Buffer Systems. ICPP Workshops (2018)
Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu
ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC (2017)
Houjun Tang, Suren Byna, Bin Dong, Jialin Liu, Quincey Koziol
SoMeta: Scalable Object-Centric Metadata Management for High Performance Computing. CLUSTER (2017)
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
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. IEEE BigData (2016)
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
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. CoRR (2016)
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
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. IPDPS (2016)
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
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. CoRR (2016)
Yin Lu, Yong Chen, Yu Zhuang, Jialin Liu, Rajeev Thakur
Collective input/output under memory constraints. Int. J. High Perform. Comput. Appl. 29 (1) (2015)
Jialin Liu, Yong Chen, Surendra Byna
Collective Computing for Scientific Big Data Analysis. ICPP Workshops (2015)
Jialin Liu, Yu Zhuang, Yong Chen
Hierarchical Collective I/O Scheduling for High-Performance Computing. Big Data Res. 2 (3) (2015)
Jialin Liu, Yin Lu, Yong Chen
In-advance data analytics for reducing time to discovery. IEEE BigData (2014)
Jialin Liu, Surendra Byna, Bin Dong, Kesheng Wu, Yong Chen
Model-Driven Data Layout Selection for Improving Read Performance. IPDPS Workshops (2014)
Junjie Chen, Jialin Liu, Philip C. Roth, Yong Chen
Using Working Set Reorganization to Manage Storage Systems with Hard and Solid State Disks. ICPP Workshops (2014)
Jialin Liu, Bradly Crysler, Yin Lu, Yong Chen
Locality-driven high-level I/O aggregation for processing scientific datasets. IEEE BigData (2013)
Jialin Liu, Yong Chen, Yi Zhuang
Hierarchical I/O Scheduling for Collective I/O. CCGRID (2013)
Jialin Liu, Surendra Byna, Yong Chen
Segmented analysis for reducing data movement. IEEE BigData (2013)
Jialin Liu, Yong Chen
Fast data analysis with integrated statistical metadata in scientific datasets. CLUSTER (2013)
Jialin Liu, Yong Chen
Improving Data Analysis Performance for High-Performance Computing with Integrating Statistical Metadata in Scientific Datasets. SC Companion (2012)
Jialin Liu, Yong Chen
Fast Data Analysis with Integrated Statistical Metadata in Scientific Datasets. ICPP Workshops (2012)