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Shane Snyder
Shane Snyder
Verified email at mcs.anl.gov
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Modular hpc i/o characterization with darshan
S Snyder, P Carns, K Harms, R Ross, GK Lockwood, NJ Wright
2016 5th workshop on extreme-scale programming tools (ESPT), 9-17, 2016
562016
A year in the life of a parallel file system
GK Lockwood, S Snyder, T Wang, S Byna, P Carns, NJ Wright
SC18: International Conference for High Performance Computing, Networking …, 2018
432018
Techniques for modeling large-scale HPC I/O workloads
S Snyder, P Carns, R Latham, M Mubarak, R Ross, C Carothers, ...
Proceedings of the 6th International Workshop on Performance Modeling …, 2015
352015
Quantifying i/o and communication traffic interference on dragonfly networks equipped with burst buffers
M Mubarak, P Carns, J Jenkins, JK Li, N Jain, S Snyder, R Ross, ...
2017 IEEE international conference on cluster computing (CLUSTER), 204-215, 2017
322017
UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis
GK Lockwood, W Yoo, S Byna, NJ Wright, S Snyder, K Harms, Z Nault, ...
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage …, 2017
272017
Mochi: Composing data services for high-performance computing environments
RB Ross, G Amvrosiadis, P Carns, CD Cranor, M Dorier, K Harms, ...
Journal of Computer Science and Technology 35 (1), 121-144, 2020
242020
Machine learning based parallel I/O predictive modeling: A case study on Lustre file systems
S Madireddy, P Balaprakash, P Carns, R Latham, R Ross, S Snyder, ...
International Conference on High Performance Computing, 184-204, 2018
232018
TOKIO on ClusterStor: connecting standard tools to enable holistic I/O performance analysis
GK Lockwood, NJ Wright, S Snyder, P Carns, G Brown, K Harms
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2018
222018
Analysis and correlation of application I/O performance and system-wide I/O activity
S Madireddy, P Balaprakash, P Carns, R Latham, R Ross, S Snyder, ...
2017 International Conference on Networking, Architecture, and Storage (NAS …, 2017
162017
Enabling {NVM} for Data-Intensive Scientific Services
P Carns, J Jenkins, CD Cranor, S Atchley, S Seo, S Snyder, RB Ross
4th Workshop on Interactions of NVM/Flash with Operating Systems and …, 2016
162016
Toward understanding I/O behavior in HPC workflows
J Lüttgau, S Snyder, P Carns, JM Wozniak, J Kunkel, T Ludwig
2018 IEEE/ACM 3rd International Workshop on Parallel Data Storage & Data …, 2018
152018
Iominer: Large-scale analytics framework for gaining knowledge from i/o logs
T Wang, S Snyder, G Lockwood, P Carns, N Wright, S Byna
2018 IEEE International Conference on Cluster Computing (CLUSTER), 466-476, 2018
152018
Modeling I/O performance variability using conditional variational autoencoders
S Madireddy, P Balaprakash, P Carns, R Latham, R Ross, S Snyder, ...
2018 IEEE international conference on cluster computing (CLUSTER), 109-113, 2018
142018
Dxt: Darshan extended tracing
C Xu, S Snyder, V Venkatesan, P Carns, O Kulkarni, S Byna, R Sisneros, ...
Argonne National Lab.(ANL), Argonne, IL (United States), 2017
132017
A case for epidemic fault detection and group membership in HPC storage systems
S Snyder, P Carns, J Jenkins, K Harms, R Ross, M Mubarak, C Carothers
International Workshop on Performance Modeling, Benchmarking and Simulation …, 2014
122014
Methodology for the rapid development of scalable HPC data services
M Dorier, P Carns, K Harms, R Latham, R Ross, S Snyder, J Wozniak, ...
2018 IEEE/ACM 3rd International Workshop on Parallel Data Storage & Data …, 2018
112018
Scalaioextrap: Elastic i/o tracing and extrapolation
X Luo, F Mueller, P Carns, J Jenkins, R Latham, R Ross, S Snyder
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
102017
Performance evaluation of Darshan 3.0. 0 on the Cray XC30
S Snyder, P Carns, K Harms, R Latham, R Ross
Argonne National Lab.(ANL), Argonne, IL (United States), 2016
82016
Hpc i/o trace extrapolation
X Luo, F Mueller, P Carns, J Jenkins, R Latham, R Ross, S Snyder
Proceedings of the 4th Workshop on Extreme Scale Programming Tools, 1-6, 2015
82015
A zoom-in analysis of i/o logs to detect root causes of i/o performance bottlenecks
T Wang, S Byna, GK Lockwood, S Snyder, P Carns, S Kim, NJ Wright
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019
72019
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