Jialin Liu
Jialin Liu
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Cited by
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+ MPI Using Three Case Studies
A Gittens, A Devarakonda, E Racah, M Ringenburg, L Gerhardt, ...
IEEE Big Data, 2016
Etalumis: Bringing probabilistic programming to scientific simulators at scale
AG Baydin, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ...
Proceedings of the international conference for high performance computing …, 2019
SoMeta: Scalable Object-centric Metadata Management for High Performance Computing
HJ Tang, S Byna, B Dong, JLLQ Koziol
Cluster 2017, 2017
Efficient probabilistic inference in the quest for physics beyond the standard model
AG Baydin, L Shao, W Bhimji, L Heinrich, S Naderiparizi, A Munk, J Liu, ...
Advances in neural information processing systems 32, 2019
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures
MMA Patwary, NR Satish, N Sundaram, J Liu, P Sadowski, E Racah, ...
30th IEEE International Parallel & Distributed Processing Symposium (IPDPS'16), 2016
ArrayUDF: User-Defined Scientific Data Analysis on Arrays
B Dong, K Wu, S Byna, J Liu, W Zhao, F Rusu
HPDC, 2017
Toward Scalable and Asynchronous Object-centric Data Management for HPC
H Tang, S Byna, F Tessier, T Wang, B Dong, J Mu, Q Koziol, J Soumagne, ...
Cluster, Cloud and Grid Computing (CCGrid), 2018 18th IEEE/ACM International …, 2018
H5Spark: Bridging the I/O Gap between Spark and Scientific Data Formats on HPC Systems
J Liu, E Racah, Q Koziol, RS Canon, A Gittens, L Gerhardt, S Byna, ...
Cray User Group, 2016
Storage 2020: A Vision for the Future of HPC Storage
GK Lockwood, D Hazen, Q Koziol, S Canon, K Antypas, J Balewski, ...
Hierarchical I/O Scheduling for Collective I/O
J Liu, Y Chen, Y Zhuang
Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International …, 2013
Locality-driven High-level I/O Aggregation for Processing Scientific Datasets
J Liu, B Crysler, Y Lu, Y Chen
Big Data'13, 2013 IEEE International Conference on Big Data, 103-111, 2013
Improving data analysis performance for high-performance computing with integrating statistical metadata in scientific datasets
J Liu, Y Chen
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
Evaluation of HPC Application I/O on Object Storage Systems
J Liu, Q Koziol, G F. Butler, N Fortner, M Chaarawi, H Tang, S Byna, ...
Segmented Analysis for Reducing Data Movement
J Liu, S Byna, Y Chen
Big Data'13, 2013 IEEE International Conference on Big Data, 344-349, 2013
An empirical study of I/O separation for burst buffers in HPC systems
D Koo, J Lee, J Liu, EK Byun, JH Kwak, GK Lockwood, S Hwang, ...
Journal of Parallel and Distributed Computing 148, 96-108, 2021
Extreme I/O on HPC for HEP using the Burst Buffer at NERSC
W Bhimji, D Bard, K Burleigh, C Daley, S Farrell, M Fasel, B Friesen, ...
Journal of Physics: Conference Series 898 (8), 082015, 2017
Hierarchical collective i/o scheduling for high-performance computing
J Liu, Y Zhuang, Y Chen
Big Data Research 2 (3), 117-126, 2015
Understanding the IO Performance Gap Between Cori KNL and Haswell
J Liu, Q Koziol, H Tang, F Tessier, W Bhimji, B Cook, B Austin, S Byna, ...
Cray User Group Meeting, 2017
CARS: A contention-aware scheduler for efficient resource management of HPC storage systems
W Liang, Y Chen, J Liu, H An
Parallel Computing 87, 25-34, 2019
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory
W Liu, K Wu, J Liu, F Chen, D Li
NAS, 2017
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