| 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 | 87 | 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 | 69 | 2019 |
| SoMeta: Scalable Object-centric Metadata Management for High Performance Computing HJ Tang, S Byna, B Dong, JLLQ Koziol Cluster 2017, 2017 | 55 | 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 | 51 | 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 | 44 | 2016 |
| ArrayUDF: User-Defined Scientific Data Analysis on Arrays B Dong, K Wu, S Byna, J Liu, W Zhao, F Rusu HPDC, 2017 | 43 | 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 | 41 | 2018 |
| Storage 2020: A Vision for the Future of HPC Storage GK Lockwood, D Hazen, Q Koziol, S Canon, K Antypas, J Balewski, ... | 38 | 2017 |
| 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 | 35 | 2016 |
| 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 | 31 | 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 | 26 | 2013 |
| 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, ... PDSW-DISCS, 2018 | 24 | 2018 |
| 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 | 24 | 2012 |
| 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 | 22 | 2021 |
| 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 | 21 | 2013 |
| 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 | 18 | 2017 |
| Hierarchical collective i/o scheduling for high-performance computing J Liu, Y Zhuang, Y Chen Big Data Research 2 (3), 117-126, 2015 | 18 | 2015 |
| 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 | 15 | 2019 |
| 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 | 15* | 2017 |
| Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory W Liu, K Wu, J Liu, F Chen, D Li NAS, 2017 | 14 | 2017 |
Suren BynaProfessor of Computer Science and Engineering, The Ohio State Universityosu.edu의 이메일 확인됨