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---
layout: default
---
<section id="publications" class="introduction text-center scrollto">
<div class="row clearfix" style="margin-top: 2em">
<div class="section-heading">
<h3>PUBLICATIONS</h3>
<h2 class="section-title">Our Scientific Contributions</h2>
</div>
<div class="row no-padding-top clearfix">
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/https://doi.org/10.1016/j.future.2020.11.024"
target="_blank">End-to-End Online Performance Data Capture and Analysis for Scientific Workflows</a></strong>
<br/>
<i>G. Papadimitriou, C. Wang, K. Vahi, R. Ferreira da Silva, A. Mandal, L. Zhengchun, R. Mayani, M. Rynge, M. Kiran, V. E. Lynch, R. Kettimuthu, E. Deelman, J. S. Vetter, and I. Foster</i><br/>
<p>Future Generation Computer Systems, vol. 117, pp. 387-400, 2021.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1109/HPEC43674.2020.9286139"
target="_blank">Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques</a></strong>
<br/>
<i>C. Wang, G. Papadimitriou, M. Kiran, A. Mandal, and E. Deelman</i><br/>
<p>2020 IEEE High Performance extreme Computing Conference (HPEC), pp. 1-7, 2020.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1016/j.jocs.2020.101259"
target="_blank">A Lightweight Method for Evaluating In Situ Workflow Efficiency</a></strong>
<br/>
<i>T. M. A. Do, L. Pottier, S. Caíno-Lores, R. Ferreira da Silva, M. A. Cuendet, H. Weinstein, T. Estrada, M. Taufer, and E. Deelman</i><br/>
<p>Journal of Computational Science, 2020.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1109/CLUSTER49012.2020.00019"
target="_blank">Modeling the Performance of Scientific Workflow Executions on HPC Platforms with Burst Buffers</a></strong>
<br/>
<i>L. Pottier, R. Ferreira da Silva, H. Casanova, and E. Deelman</i><br/>
<p>2020 IEEE International Conference on Cluster Computing (CLUSTER), pp. 92–103, 2020.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1145/3311790.3396671"
target="_blank">Workflow Submit Nodes as a Service on Leadership Class Systems</a></strong>
<br/>
<i>G. Papadimitriou, K. Vahi, J. Kincl, V. Anantharaj, E. Deelman, and J. Wells</i><br/>
<p>Proceedings of the Practice and Experience in Advanced Research Computing, 2020.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1109/WORKS51914.2020.00012"
target="_blank">WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development</a></strong>
<br/>
<i>R. Ferreira da Silva, L. Pottier, T. Coleman, E. Deelman, and H. Casanova</i><br/>
<p>2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), pp. 49–56, 2020.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1016/j.jocs.2020.101157"
target="_blank">Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, H. Casanova, A. Orgerie, R. Tanaka, E. Deelman, and F. Suter</i><br/>
<p>Journal of Computational Science, to appear, 2020.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1007/s10994-020-05870-y"
target="_blank">Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP</a></strong>
<br/>
<i>M. Kiran, C. Wang, G. Papadimitriou, A. Mandal, and E. Deelman</i><br/>
<p>Machine Learning, to appear, 2020. </p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="#"
target="_blank">Gearing the DECam Analysis Pipeline for Multi-Messenger Astronomy using Pegasus Workflows</a></strong>
<br/>
<i>K. Vahi, D. Goldstein, G. Papadimitriou, P. Nugent, and E. Deelman</i><br/>
<p>Astronomical Data Analysis Software and Systems (ADASS) XXIX, to appear, 2020. </p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://doi.org/10.1177/1094342019852127"
target="_blank">The role of machine learning in scientific workflows</a></strong>
<br/>
<i>E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou</i><br/>
<p>The International Journal of High Performance Computing Applications, to appear, 2019. </p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1016/j.future.2019.06.016"
target="_blank">Measuring the Impact of Burst Buffers on Data-Intensive Scientific
Workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, S. Callaghan, T. M. A. Do, G. Papadimitriou, and E. Deelman</i><br/>
<p>Future Generation Computer Systems, vol. 101, pp. 208-220, 2019. </p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://doi.org/10.1016/j.future.2019.01.015"
target="_blank">Using simple PID-inspired controllers for online resilient resource management
of distributed scientific workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, R. Filgueira, E. Deelman, E. Pairo-Castineira, I. M. Overton, M.
Atkinson</i><br/>
<p>Future Generation Computer Systems, vol. 95, pp. 615-628, 2019. </p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="http://dx.doi.org/10.1007/978-3-030-22734-0_11"
target="_blank">Accurately Simulating Energy Consumption of I/O-intensive Scientific Workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, A-C. Orgerie, H. Casanova, R. Tanaka, E. Deelman, and F. Suter</i><br/>
<p>2019 International Conference on Computational Science (ICCS), pp. 138-152, 2019.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong>
Detecting Outliers in Network Transfers with Feature Extraction</strong>
<br/>
<i>M. Kiran, C. Wang, N. S. V. Rao, and A. Mandal</i><br/>
<p>ICML Joint Workshop on Deep (or Machine) Learning for Safety-Critical Applications in
Engineering, 2018</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/filgueira-iwsg-2018.pdf" target="_blank">
IoT-Hub: New IoT data-platform for Virtual Research Environments</a></strong>
<br/>
<i>R. Filgueira, R. Ferreira da Silva, E. Deelman, V. Christodoulou, and A. Krause</i><br/>
<p>10th International Workshop on Science Gateways (IWSG 2018), 2018</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="https://doi.org/10.1145/3150994.3151000" target="_blank">
On the Use of Burst Buffers for Accelerating Data-Intensive Scientific
Workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, S. Callaghan, and E. Deelman</i><br/>
<p>12th Workshop on Workflows in Support of Large-Scale Science (WORKS'17), 2017</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="https://doi.org/10.1109/eScience.2017.92" target="_blank">
Toward Prioritization of Data Flows for Scientific Workflows Using Virtual
Software Defined Exchanges</a></strong>
<br/>
<i>A. Mandal, P. Ruth, I. Baldin, R. Ferreira da Silva, and E. Deelman</i><br/>
<p>First International Workshop on Workflow Science (WoWS 2017), 2017</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong>Classifying elephant and nice flows in high performance networks</strong>
<br/>
<i>A. Chabbra, and M.Kiran</i><br/>
<p>Innovating the Network for Data Intensive Science (INDIS'17), 2017</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="https://doi.org/10.1109/HPEC.2017.8091071" target="_blank">
Distributed Workflows for Modeling Experimental Data</a></strong>
<br/>
<i>V. Lynch, J. B. Calvo, E. Deelman, R. Ferreira da Silva, M. Goswami, Y. Hui, E.
Lingerfelt, and J. Vetter</i><br/>
<p>IEEE Xplore, Nov. 2017</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="https://doi.org/10.1145/3064911.3064923" target="_blank">Durango: Scalable
Synthetic Workload Generation for Extreme-Scale Application
Performance Modeling and Simulation</a></strong>
<br/>
<i>C. D. Carothers, J. S. Meredith, M. P. Blanco, J. S. Vetter, M. Mubarak, J. LaPre,
S. Moore</i><br/>
<p>2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pp. 97-108,
2017</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="https://doi.org/10.1016/j.jcp.2017.03.045"
target="_blank">An automated analysis workflow for optimization of force-field
parameters using neutron scattering data</a></strong>
<br/>
<i>V. E. Lynch, J. M. Borreguero, D. Bhowmik, P. Ganesh, B. G. Sumpter, T. E. Proffen, M.
Goswami</i><br/>
<p>J. Comp. Phys., 340(1), 128-137 (2017)</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="http://dx.doi.org/10.1177/1094342015594515"
target="_blank">PANORAMA: An Approach to Performance Modeling and Diagnosis of
Extreme Scale Workflows</a></strong>
<br/>
<i>E. Deelman, C. Carothers, A. Mandal, B. Tierney, J. S. Vetter, I. Baldin, C. Castillo, G.
Juve, D. Krol, V. Lynch, B. Mayer, J. Meredith, T. Proffen, P. Ruth, R. Ferreira da
Silva</i><br/>
<p>International Journal of High Performance Computing Applications, vol. 31, iss. 1, pp. 4-18,
2017</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a href="http://dx.doi.org/10.1016/j.future.2017.02.026"
target="_blank">A Characterization of Workflow Management Systems for Extreme-Scale
Applications</a></strong>
<br/>
<i>R. Ferreira da Silva, R. Filgueira, I. Pietri, M. Jiang, R. Sakellariou, E. Deelman</i><br/>
<p>Future Generation Computer Systems, vol. 75, pp. 228-238, 2017.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/krol-heteropar-2016.pdf"
target="_blank">Workflow Performance Profiles: Development and Analysis</a></strong>
<br/>
<i>D. Krol, R. Ferreira da Silva, E. Deelman, V. E. Lynch</i><br/>
<p>Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar),
2016.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/gaikwad-intercloud-2016.pdf"
target="_blank">Anomaly Detection for Scientific Workflow Applications on Networked
Clouds</a></strong>
<br/>
<i>P. Gaikwad, A. Mandal, P. Ruth, G. Juve, D. Krol, E. Deelman</i><br/>
<p>IEEE 2016 International Conference on High Performance Computing & Simulation (HPCS 2016),
2016.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/ferreiradasilva-works-2016.pdf"
target="_blank">Using Simple PID Controllers to Prevent and Mitigate Faults in
Scientific Workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, R. Filgueira, E. Deelman, E. Pairo-Castineira, I. M. Overton, M.
Atkinson</i><br/>
<p>11th Workflows in Support of Large-Scale Science (WORKS’16), 2016.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/ferreiradasilva-ecw-2016.pdf"
target="_blank">Automating Environmental Computing Applications with Scientific
Workflows</a></strong>
<br/>
<i>R. Ferreira da Silva, E. Deelman, R. Filgueira, K. Vahi, M. Rynge, R. Mayani, B. Mayer</i><br/>
<p>Environmental Computing Workshop (ECW’16), 2016.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/mandal-lspp-2016.pdf"
target="_blank">Toward an End-to-end Framework for Modeling, Monitoring, and Anomaly
Detection for Scientific Workflows</a></strong>
<br/>
<i>A. Mandal, P. Ruth, I. Baldin, D. Krol, G. Juve, R. Mayani, R. Ferreira da Silva, E. Deelman, J.
Meredith, J. Vetter, V. Lynch, B. Mayer, J. Wynne III, M. Blanco, C. Carothers, J. LaPre, B.
Tierney</i><br/>
<p>Workshop on Large-Scale Parallel Processing (LSPP 2016), 2016.</p>
</div>
</div>
<div class="icon-block icon-top wow fadeInUp text-left" style="padding-bottom: 15px" data-wow-delay="0.1s">
<div class="icon pub-item">
<i class="fa fa-file-text fa-1x"></i>
<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/schlagkamp-hpdc-2016.pdf"
target="_blank">Consecutive Job Submission Behavior at Mira Supercomputer</a></strong>
<br/>
<i>S. Schlagkamp, R. Ferreira da Silva, W. Allcock, E. Deelman, U. Schwiegelshohn</i><br/>
<p>25th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC),
Kyoto, Japan, 2016.</p>
</div>
</div>
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<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/schlagkamp-iccs-2016.pdf"
target="_blank">Understanding User Behavior: from HPC to HTC</a></strong>
<br/>
<i>S. Schlagkamp, R. Ferreira da Silva, E. Deelman, U. Schwiegelshohn</i><br/>
<p>International Conference on Computational Science (ICCS), 2016.</p>
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<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/krol-etfa-2016.pdf"
target="_blank">Science Automation in Practice: Performance Data Farming in
Workflows</a></strong>
<br/>
<i>D. Krol, J. Kitowski, R. Ferreira da Silva, G. Juve, K. Vahi, M. Rynge, E. Deelman</i><br/>
<p>21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),
2016.</p>
</div>
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<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/nawaz-apdcm-2016.pdf"
target="_blank">Performance Analysis of an I/O-Intensive Workflow executing on Google Cloud
and Amazon Web Services</a></strong>
<br/>
<i>H. Nawaz, G. Juve, R. Ferreira da Silva, E. Deelman</i><br/>
<p>18th Workshop on Advances in Parallel and Distributed Computational Models (APDCM), 2016.</p>
</div>
</div>
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<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/mayer-cug-2015.pdf"
target="_blank">Climate Science Performance, Data and Productivity on Titan</a></strong>
<br/>
<i>B. Mayer, P. H. Worley, R. Ferreira da Silva, A. L. Gaddis</i><br/>
<p>Cray User Group Meeting, Chicago, IL, 2015.</p>
</div>
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<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/juve-hpcmaspa-2015.pdf"
target="_blank">Practical Resource Monitoring for Robust High Throughput
Computing</a></strong>
<br/>
<i>G. Juve, B. Tovar, R. Ferreira da Silva, D. Krol, D. Thain, E. Deelman, W. Allcock, M.
Livny</i><br/>
<p>Workshop on Monitoring and Analysis for High Performance Computing Systems Plus Applications,
2015.</p>
</div>
</div>
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<strong><a
href="https://scitech.isi.edu/wordpress/wp-content/papercite-data/pdf/deelman-modsim-2015.pdf"
target="_blank">Panorama: Modeling The Performance of Scientific Workflows.</a></strong>
<br/>
<i>E. Deelman, C. Carothers, A. Mandal, B. Tierney, J. S. Vetter, I. Baldin, C. Castillo, G. Juve,
D. Krol, V. Lynch, B. Mayer, J. Meredith, T. Proffen, P. Ruth, R. Ferreira da Silva</i><br/>
<p>Workshop on Modeling and Simulation of Systems and Applications (ModSim 2015), 2015.</p>
</div>
</div>
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</div>
<!-- Posters -->
<div class="section-heading">
<h2 class="section-title">Posters</h2>
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<strong><a href="./assets/posters/kiran-modsim-2018.pdf" target="_blank">
Finding Anomalies in Data transfers using Unsupervised Feature Extraction</a></strong>
<br/>
<p>Modeling & Simulation of Systems and Applications (ModSim). August 2018</p>
</div>
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<strong><a href="https://scitech.isi.edu/posters/2018/pegasus-wms-panorama360.pdf" target="_blank">Pegasus
WMS and Panorama 360</a></strong>
<br/>
<p>USC Viterbi Annual Research Review. March 2018</p>
</div>
</div>
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<strong><a href="https://drive.google.com/file/d/1SvYbPXUt9qnWWNI-S5GUvU-PXcOvuVPb/view?usp=sharing"
target="_blank">Molecular Dynamics and Quasi-elastic Scattering Workflows</a></strong>
<br/>
<p>Spallation Neutron Source Software Review. February 2018</p>
</div>
</div>
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<strong><a href="https://scitech.isi.edu/posters/2017/ngns-pi-meeting-2017-v02.pdf" target="_blank">PANORAMA:
Predictive Modeling and Diagnostic Monitoring of Extreme Science Workflows</a></strong>
<br/>
<p>DOE NGNS PI Meeting, 2017.</p>
</div>
</div>
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<strong><a
href="https://figshare.com/articles/Enabling_End-to-end_Experiment_Sharing_and_Reuse_with_Workflows_via_Jupyter_Notebooks/5482474"
target="_blank">Enabling End-to-end Experiment Sharing and Reuse with Workflows via Jupyter
Notebooks</a></strong>
<br/>
<p>Gateways 2017, 2017.</p>
</div>
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<strong><a href="https://scitech.isi.edu/posters/2017/GEC25-DemoPoster.pdf" target="_blank">Data Flow
Prioritization for Scientific Workflows Using A Virtual SDX on ExoGENI</a></strong>
<br/>
<p>GENI Engineering Conference 25, 2017.</p>
</div>
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<strong><a href="https://drive.google.com/open?id=0B3QK0Y9rxFEnWU9VbUVMRjU0Vnc" target="_blank">PANORAMA:
Tools for Modeling, Monitoring, and Anomaly Detection in Scientific Workflow Execution</a></strong>
<br/>
<p>Workshop on Modeling and Simulation (Modsim), 2016.</p>
</div>
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<strong><a href="https://drive.google.com/file/d/0B2fPXJlxMj4TX1lQaWxLNXplX0U/view?usp=sharing"
target="_blank">PANORAMA: Modeling the Performance of Scientific Workflows</a></strong>
<br/>
<p>Workshop on Modeling and Simulation (Modsim), 2015.</p>
</div>
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<strong><a href="https://drive.google.com/file/d/0B2fPXJlxMj4TaDJqM3ZRNG9YMW8/view?usp=sharing"
target="_blank">PANORAMA: Modeling the Performance of Scientific Workflows</a></strong>
<br/>
<p>NGNS PI Meeting, 2015.</p>
</div>
</div>
</div>
</section>