Jeremy Logan
Jeremy Logan
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Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks
Q Liu, J Logan, Y Tian, H Abbasi, N Podhorszki, JY Choi, S Klasky, ...
Concurrency and Computation: Practice and Experience 26 (7), 1453-1473, 2014
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management
WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ...
SoftwareX 12, 100561, 2020
In situ data processing for extreme-scale computing
S Klasky, H Abbasi, J Logan, M Parashar, K Schwan, A Shoshani, M Wolf, ...
Scientific Discovery through Advanced Computing Program (SciDAC’11), 1-16, 2011
A high performance implementation of MPI‐IO for a Lustre file system environment
PM Dickens, J Logan
Concurrency and Computation: Practice and Experience 22 (11), 1433-1449, 2010
Towards a high performance implementation of MPI-IO on the Lustre file system
P Dickens, J Logan
OTM Confederated International Conferences" On the Move to Meaningful …, 2008
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned
JY Choi, CS Chang, J Dominski, S Klasky, G Merlo, E Suchyta, ...
2018 IEEE 14th International Conference on e-Science (e-Science), 442-452, 2018
Y-lib: a user level library to increase the performance of MPI-IO in a lustre file system environment
PM Dickens, J Logan
Proceedings of the 18th ACM international symposium on High performance …, 2009
Runtime I/O Re-Routing+ Throttling on {HPC} Storage
Q Liu, N Podhorszki, J Logan, S Klasky
5th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 13), 2013
Towards an understanding of the performance of MPI-IO in Lustre file systems
J Logan, P Dickens
2008 IEEE International Conference on Cluster Computing, 330-335, 2008
FlexQuery: An online query system for interactive remote visual data exploration at large scale
H Zou, K Schwan, M Slawinska, M Wolf, G Eisenhauer, F Zheng, J Dayal, ...
2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013
Understanding I/O performance using I/O skeletal applications
J Logan, S Klasky, H Abbasi, Q Liu, G Ostrouchov, M Parashar, ...
European Conference on Parallel Processing, 77-88, 2012
Skel: Generative software for producing skeletal i/o applications
J Logan, S Klasky, J Lofstead, H Abbasi, S Ethier, R Grout, SH Ku, Q Liu, ...
2011 IEEE Seventh International Conference on e-Science Workshops, 191-198, 2011
ADIOS visualization schema: A first step towards improving interdisciplinary collaboration in high performance computing. In eScience (eScience)
R Tchoua, J Choi, S Klasky, Q Liu, J Logan, K Moreland, J Mu, ...
2013 IEEE 9th International Conference on eScience, 27-34, 2013
A codesign framework for online data analysis and reduction
K Mehta, B Allen, M Wolf, J Logan, E Suchyta, J Choi, K Takahashi, ...
2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 11-20, 2019
Combining phase identification and statistic modeling for automated parallel benchmark generation
Y Jin, X Ma, M Liu, Q Liu, J Logan, N Podhorszki, JY Choi, S Klasky
Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015
A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics
Y Tian, Z Liu, S Klasky, B Wang, H Abbasi, S Zhou, N Podhorszki, T Clune, ...
2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST), 1-10, 2013
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age
S Klasky, M Wolf, M Ainsworth, C Atkins, J Choi, G Eisenhauer, B Geveci, ...
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics
M Slawinska, M Clark, M Wolf, T Bode, H Zou, P Laguna, J Logan, ...
Proceedings of the Conference on Extreme Science and Engineering Discovery …, 2013
Consistency of Java transactions
S Alagić, J Logan
International Workshop on Database Programming Languages, 71-89, 2003
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale
J Logan, M Ainsworth, C Atkins, J Chen, J Choi, J Gu, J Kress, ...
Data Engineering, 35, 2020
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