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ORCIDTrilce Estrada
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- affiliation: University of New Mexico, NM, USA
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Journal Articles
- 2022
[j9]David Debonis
, Trilce Estrada, Ryan E. Grant, Kevin T. Pedretti, James H. Laros III, Dorian C. Arnold:
APE: Metrics for understanding application performance efficiency under power caps. Sustain. Comput. Informatics Syst. 34: 100702 (2022)- 2021
- [j8]Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman:
A lightweight method for evaluating in situ workflow efficiency. J. Comput. Sci. 48: 101259 (2021) - [j7]Hector Carrillo-Cabada, Jeremy Benson, Asghar M. Razavi, Brianna Mulligan, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1336-1349 (2021) - 2017
- [j6]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers. Parallel Comput. 63: 38-60 (2017) - 2013
- [j5]Kyle E. Benson, Samuel Schlachter, Trilce Estrada, Michela Taufer, Jesse Lawrence, Elizabeth Cochran:
On the powerful use of simulations in the Quake-Catcher Network to efficiently position low-cost earthquake sensors. Future Gener. Comput. Syst. 29(8): 2128-2142 (2013) - 2012
- [j4]Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer:
A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach. Comput. Biol. Medicine 42(7): 758-771 (2012) - 2011
- [j3]Obaidur Rahaman, Trilce Estrada, Douglas J. Doren, Michela Taufer, Charles L. Brooks III, Roger S. Armen:
Evaluation of Several Two-Step Scoring Functions Based on Linear Interaction Energy, Effective Ligand Size, and Empirical Pair Potentials for Prediction of Protein-Ligand Binding Geometry and Free Energy. J. Chem. Inf. Model. 51(9): 2047-2065 (2011) - 2009
- [j2]Trilce Estrada, Michela Taufer, David P. Anderson:
Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC. J. Grid Comput. 7(4): 537-554 (2009) - 2008
- [j1]Trilce Estrada, Olac Fuentes, Michela Taufer:
A distributed evolutionary method to design scheduling policies for volunteer computing. SIGMETRICS Perform. Evaluation Rev. 36(3): 40-49 (2008)
Conference and Workshop Papers
- 2023
- [c51]Adnan Bashir, Trilce Estrada:
DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. DaWaK 2023: 294-302 - [c50]Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. e-Science 2023: 1-10 - [c49]Silvina Caíno-Lores, Michel A. Cuendet, Jack Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer:
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. PASC 2023: 21:1-21:11 - [c48]Sushil K. Prasad, Charles C. Weems, Alan Sussman, Anshul Gupta, Trilce Estrada, Ramachandran Vaidyanathan, Sheikh K. Ghafoor, Krishna Kant, Craig B. Stunkel:
NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. SIGCSE (2) 2023: 1220-1221 - 2021
- [c47]Nidia Yadira Vaquera Chavez, Trilce Estrada:
PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs. IEEE BigData 2021: 2743-2752 - [c46]Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall, Miron Livny:
A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. CLUSTER 2021: 807-808 - [c45]Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall:
A Roadmap to Robust Science for High-throughput Applications: The Scientists' Perspective. e-Science 2021: 247-248 - 2020
- [c44]Jeremy Benson, Trilce Estrada, Mark R. Burge, Peter Soliz:
Diabetic Peripheral Neuropathy Risk Assessment using Digital Fundus Photographs and Machine Learning. EMBC 2020: 1988-1991 - [c43]Tu Mai Anh Do, Loïc Pottier, Stephen Thomas, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman:
A Novel Metric to Evaluate In Situ Workflows. ICCS (1) 2020: 538-553 - [c42]Jered Dominguez-Trujillo, Keira Haskins, Soheila Jafari Khouzani, Christopher Leap, Sahba Tashakkori, Quincy Wofford, Trilce Estrada, Patrick G. Bridges, Patrick M. Widener:
Lightweight Measurement and Analysis of HPC Performance Variability. PMBS@SC 2020: 50-60 - 2019
- [c41]Esteban Guillen, Trilce Estrada, Matthew Cain:
DeepManner: Automatically Determining Manner of Death. IEEE BigData 2019: 1361-1366 - [c40]Michela Taufer, Ewa Deelman, Stephen Thomas, Michael R. Wyatt II, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Harel Weinstein, Michel A. Cuendet, Trilce Estrada:
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. eScience 2019: 188-198 - [c39]William S. Monroe, Michael Witt, Maria Pantoja, Christopher Lupo, Anne C. Elster, Joel C. Adams, Mark C. Wissink, Hang Liu, Chunhua Liao, Raphael B. Yehezkael, Benjamin H. Glick, Ravi Tripathi, Brian Smith, Jens Mache, Trilce Estrada, Debzani Deb, Ujjal Bhowmik, Yuting Chen, Dong San Choi, Zuofu Cheng, Gladys K. Andino, Pete E. Pascuzzi, Mark Daniel Ward:
Lightning Talks of EduHPC 2019. EduHPC@SC 2019: 25-31 - 2018
- [c38]Trilce Estrada, Jeremy Benson, Hector Carrillo-Cabada, Asghar M. Razavi, Michel A. Cuendet, Harel Weinstein, Ewa Deelman, Michela Taufer:
Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. BCB 2018: 315-324 - [c37]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData 2018: 1899-1904 - [c36]Xinyu Chen, Jeremy Benson, Matt Peterson, Michela Taufer, Trilce Estrada:
KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis. ICPP 2018: 34:1-34:10 - [c35]Jeremy Benson, Hector Carrillo, Jeffrey Wigdahl, Sheila C. Nemeth, John Maynard, Gilberto Zamora, E. Simon Barriga, Trilce Estrada, Peter Soliz:
Transfer learning for diabetic retinopathy. Medical Imaging: Image Processing 2018: 105741Z - 2017
- [c34]Xinyu Chen, Jeremy Benson, Trilce Estrada:
keybin: Key-Based Binning for Distributed Clustering. CLUSTER 2017: 572-581 - [c33]Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota:
Construction of Semantic Data Models. DATA (Revised Selected Papers) 2017: 46-66 - [c32]Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota:
Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents. DATA 2017: 223-232 - [c31]Xinyu Chen, Trilce Estrada:
Index Clustering: A Map-reduce Clustering Approach using Numba. DATA 2017: 233-240 - 2016
- [c30]Thilak R. Balasubramanian, Trilce Estrada:
Crowdlearning: A framework for collaborative and personalized learning. FIE 2016: 1-9 - [c29]Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota:
TAO: System for Table Detection and Extraction from PDF Documents. FLAIRS 2016: 591-596 - [c28]Jeremy Benson, Trilce Estrada, Arnold L. Rosenberg, Michela Taufer:
Scheduling Matters: Area-Oriented Heuristic for Resource Management. SBAC-PAD 2016: 214-221 - 2015
- [c27]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Accurate Scoring of Drug Conformations at the Extreme Scale. CCGRID 2015: 817-822 - [c26]Trilce Estrada, Michael R. Wyatt II, Michela Taufer:
A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. ICPADS 2015: 372-379 - [c25]Vivek K. Pallipuram, Trilce Estrada, Michela Taufer:
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP 2015: 849-858 - [c24]Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer, Trilce Estrada, Pietro Cicotti, Pavan Balaji:
HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops 2015: 331 - 2014
- [c23]Feng Raoking, Joanne McGrath Cohoon, Kathryn Cooke, Michela Taufer, Trilce Estrada:
Gender and volunteer computing: A survey study. FIE 2014: 1-5 - [c22]Abdullah Mueen, Hossein Hamooni, Trilce Estrada:
Time Series Join on Subsequence Correlation. ICDM 2014: 450-459 - [c21]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer:
Enabling In-Situ Data Analysis for Large Protein-Folding Trajectory Datasets. IPDPS 2014: 221-230 - 2013
- [c20]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer:
On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce. CSE 2013: 117-124 - [c19]Trilce Estrada, Kathleen L. Pusecker, Manuel R. Torres, Joanne McGrath Cohoon, Michela Taufer:
Benchmarking Gender Differences in Volunteer Computing Projects. e-Science 2013: 342-349 - [c18]Matthew Wezowicz, Trilce Estrada, Sandeep Patel, Michela Taufer:
Performance Dissection of a Molecular Dynamics Code across CUDA and GPU Generations. IPDPS Workshops 2013: 1355-1364 - 2012
- [c17]Michael Matheny, Samuel Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, Roger S. Armen, Gary M. Zoppetti, Michela Taufer:
ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health. eScience 2012: 1-8 - [c16]Trilce Estrada, Boyu Zhang, Michela Taufer, Pietro Cicotti, Roger S. Armen:
Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce. HPCC-ICESS 2012: 351-359 - [c15]Trilce Estrada, Michela Taufer:
On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems. SC 2012: 80 - 2011
- [c14]Kyle E. Benson, Trilce Estrada, Michela Taufer, Jesse Lawrence, Elizabeth Cochran:
On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors. eScience 2011: 77-84 - [c13]Trilce Estrada, Michela Taufer:
Providing Quality of Science in Volunteer Computing. HPCC 2011: 68-77 - [c12]Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer:
Poster: study of protein-ligand binding geometries using a scalable and accurate octree-based algorithm in mapReduce. SC Companion 2011: 39-40 - 2010
- [c11]Trilce Estrada, Roger S. Armen, Michela Taufer:
Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing. BCB 2010: 204-213 - 2009
- [c10]Trilce Estrada, Michela Taufer, Kevin Reed:
Modeling Job Lifespan Delays in Volunteer Computing Projects. CCGRID 2009: 331-338 - [c9]James Atlas, Trilce Estrada, Keith Decker, Michela Taufer:
Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization. ICCS (1) 2009: 143-152 - [c8]Trilce Estrada, Michela Taufer, Kevin Reed, David P. Anderson:
EmBOINC: An emulator for performance analysis of BOINC projects. IPDPS 2009: 1-8 - 2008
- [c7]Trilce Estrada, Olac Fuentes, Michela Taufer:
A distributed evolutionary method to design scheduling policies for volunteer computing. Conf. Computing Frontiers 2008: 313-322 - 2007
- [c6]Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Richard Zamudio, Patricia J. Teller, Roger S. Armen, Charles L. Brooks III:
Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling. IPDPS 2007: 1-8 - [c5]Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Patricia J. Teller:
SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects. PADS 2007: 189-197 - 2006
- [c4]Trilce Estrada, David A. Flores, Michela Taufer, Patricia J. Teller, Andre Kerstens, David P. Anderson:
The Effectiveness of Threshold-Based Scheduling Policies in BOINC Projects. e-Science 2006: 88 - [c3]Trilce Estrada, Abel Licon, Michela Taufer:
compPknots: A Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots. ISPA Workshops 2006: 677-686 - [c2]David A. Flores, Trilce Estrada, Michela Taufer, Patricia J. Teller, Andre Kerstens:
Poster reception - SimBA: a discrete event simulator for performance prediction of volunteer computing projects. SC 2006: 168 - 2005
- [c1]Trilce Estrada, Olac Fuentes:
Identification of Stellar Population in Galactic Spectra Using the Hierarchical Desicion Ensemble. FLAIRS 2005: 394-398
Informal and Other Publications
- 2018
- [i1]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. CoRR abs/1806.07382 (2018)
Coauthor Index
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