Fast Data Analysis with Integrated Statistical Metadata in Scientific Datasets. - Jialin Liu 002; Yong Chen 001 (ICPP Workshops, 2012)

Improving Data Analysis Performance for High-Performance Computing with Integrating Statistical Metadata in Scientific Datasets. - Jialin Liu 002; Yong Chen 001 (SC Companion, 2012)

Segmented analysis for reducing data movement. - Jialin Liu 002; Surendra Byna; Yong Chen 001 (IEEE BigData, 2013)

Locality-driven high-level I/O aggregation for processing scientific datasets. - Jialin Liu 002; Bradly Crysler; Yin Lu; Yong Chen 001 (IEEE BigData, 2013)

Hierarchical I/O Scheduling for Collective I/O. - Jialin Liu 002; Yong Chen 001; Yi Zhuang (CCGRID, 2013)

In-advance data analytics for reducing time to discovery. - Jialin Liu 002; Yin Lu; Yong Chen 001 (IEEE BigData, 2014)

Using Working Set Reorganization to Manage Storage Systems with Hard and Solid State Disks. - Junjie Chen; Jialin Liu 002; Philip C. Roth; Yong Chen 001 (ICPP Workshops, 2014)

Model-Driven Data Layout Selection for Improving Read Performance. - Jialin Liu 002; Surendra Byna; Bin Dong 002; Kesheng Wu; Yong Chen 001 (IPDPS Workshops, 2014)

Collective Computing for Scientific Big Data Analysis. - Jialin Liu 002; Yong Chen 001; Surendra Byna (ICPP Workshops, 2015)

Hierarchical Collective I/O Scheduling for High-Performance Computing. - Jialin Liu 002; Yu Zhuang; Yong Chen 001 (Big Data Res., 2015)

Collective input/output under memory constraints. - Yin Lu; Yong Chen 001; Yu Zhuang; Jialin Liu 002; Rajeev Thakur (Int. J. High Perform. Comput. Appl., 2015)

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 002; Kristyn J. Maschhoff; Shane Canon; Jatin Chhugani; Pramod Sharma; Jiyan Yang; et al. (IEEE BigData, 2016)

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. - Md. Mostofa Ali Patwary; Nadathur Rajagopalan Satish; Narayanan Sundaram; Jialin Liu 002; Peter J. Sadowski; Evan Racah; Surendra Byna; Craig Tull; Wahid Bhimji; Prabhat; Pradeep Dubey (IPDPS, 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 002; Kristyn J. Maschhoff; Shane Canon; Jatin Chhugani; Pramod Sharma; Jiyan Yang; et al. (CoRR, 2016)

SoMeta: Scalable Object-Centric Metadata Management for High Performance Computing. - Houjun Tang; Suren Byna; Bin Dong 002; Jialin Liu 002; Quincey Koziol (CLUSTER, 2017)

ArrayUDF: User-Defined Scientific Data Analysis on Arrays. - Bin Dong 002; Kesheng Wu; Surendra Byna; Jialin Liu 002; Weijie Zhao 001; Florin Rusu (HPDC, 2017)

Toward Scalable and Asynchronous Object-Centric Data Management for HPC. - Houjun Tang; Suren Byna; Francois Tessier; Teng Wang; Bin Dong 002; Jingqing Mu; Quincey Koziol; Jérome Soumagne; Venkatram Vishwanath; Jialin Liu 002; Richard Warren (CCGrid, 2018)

Contention-Aware Resource Scheduling for Burst Buffer Systems. - Weihao Liang; Yong Chen 001; Jialin Liu 002; Hong An (ICPP Workshops, 2018)

DVM: Scaling Out Virtual Memory in Userspace. - Abdullah Al-Mamun 001; Ke Wang 012; Jialin Liu 002; Dongfang Zhao 001 (ICPP Workshops, 2018)

Evaluation of HPC Application I/O on Object Storage Systems. - Jialin Liu 002; 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 (PDSW-DISCS@SC, 2018)

Tuning Object-Centric Data Management Systems for Large Scale Scientific Applications. - Houjun Tang; Suren Byna; Stephen Bailey; Zarija Lukic; Jialin Liu 002; Quincey Koziol; Bin Dong 002 (HiPC, 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 001; Jialin Liu 002; Bradley Gram-Hansen; Gilles Louppe; Lawrence Meadows; Philip H. S. Torr; Victor W. Lee; et al. (NeurIPS, 2019)

Etalumis: bringing probabilistic programming to scientific simulators at scale. - Atilim Günes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Lawrence Meadows; Jialin Liu 002; Andreas Munk 001; Saeid Naderiparizi; Bradley Gram-Hansen; Gilles Louppe; Mingfei Ma; Xiaohui Zhao; et al. (SC, 2019)

CARS: A contention-aware scheduler for efficient resource management of HPC storage systems. - Weihao Liang; Yong Chen 001; Jialin Liu 002; Hong An (Parallel Comput., 2019)

Reflector: a fine-grained I/O tracker for HPC systems. - Abdullah Al-Mamun 001; Jialin Liu 002; Tonglin Li; Quincey Koziol; Zhongyi Zhai; Junyan Qian; Haoting Shen; Dongfang Zhao 001 (PPoPP, 2020)

Segmented In-Advance Data Analytics for Fast Scientific Discovery. - Jialin Liu 002; Yong Chen 001 (IEEE Trans. Cloud Comput., 2020)

An empirical study of I/O separation for burst buffers in HPC systems. - Donghun Koo; Jaehwan Lee 001; Jialin Liu 002; Eun-Kyu Byun; Jae-Hyuck Kwak; Glenn K. Lockwood; Soonwook Hwang; Katie Antypas; Kesheng Wu; Hyeonsang Eom (J. Parallel Distributed Comput., 2021)