Shane Snyder

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Prasanna Balaprakash

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Publications

2020
[c21]
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  dblp key:
  - conf/sc/RosarioCIMBCRHS20
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  persistent URL:
  - https://dblp.org/rec/conf/sc/RosarioCIMBCRHS20
Eliakin Del Rosario, Mikaela Currier, Mihailo Isakov, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Kevin Harms, Shane Snyder, Michel A. Kinsy:
Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis. PDSW@SC 2020: 15-21
2019
[c19]
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  dblp key:
  - conf/icpp/MadireddyBCLLRS19
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  - https://dblp.org/rec/conf/icpp/MadireddyBCLLRS19
Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Glenn K. Lockwood, Robert B. Ross, Shane Snyder, Stefan M. Wild:
Adaptive Learning for Concept Drift in Application Performance Modeling. ICPP 2019: 79:1-79:11
2018
[c17]
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  - conf/cluster/MadireddyBCLRSW18
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  - https://dblp.org/rec/conf/cluster/MadireddyBCLRSW18
Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild:
Modeling I/O Performance Variability Using Conditional Variational Autoencoders. CLUSTER 2018: 109-113
[c12]
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  dblp key:
  - conf/supercomputer/MadireddyBCLRSW18
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  - https://dblp.org/rec/conf/supercomputer/MadireddyBCLRSW18
Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild:
Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems. ISC 2018: 184-204
2017
[c9]
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  dblp key:
  - conf/nas/MadireddyBCLRSW17
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  - https://dblp.org/rec/conf/nas/MadireddyBCLRSW17
Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild:
Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity. NAS 2017: 1-10

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