Trilce Estrada

Orcid: 0000-0001-7743-8754

Affiliations:
  • University of New Mexico, NM, USA


According to our database1, Trilce Estrada authored at least 60 papers between 2005 and 2023.

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Bibliography

2023
NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022
APE: Metrics for understanding application performance efficiency under power caps.
Sustain. Comput. Informatics Syst., 2022

2021
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A lightweight method for evaluating <i>in situ</i> workflow efficiency.
J. Comput. Sci., 2021

A Roadmap to Robust Science for High-throughput Applications: The Scientists' Perspective.
Proceedings of the 17th IEEE International Conference on eScience, 2021

A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Lightweight Measurement and Analysis of HPC Performance Variability.
Proceedings of the 2020 IEEE/ACM Performance Modeling, 2020

A Novel Metric to Evaluate In Situ Workflows.
Proceedings of the Computational Science - ICCS 2020, 2020

Diabetic Peripheral Neuropathy Risk Assessment using Digital Fundus Photographs and Machine Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers.
Proceedings of the 15th International Conference on eScience, 2019

DeepManner: Automatically Determining Manner of Death.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
In situ TensorView: In situ Visualization of Convolutional Neural Networks.
CoRR, 2018

Transfer learning for diabetic retinopathy.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis.
Proceedings of the 47th International Conference on Parallel Processing, 2018

In situ TensorView: In situ Visualization of Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers.
Parallel Comput., 2017

Construction of Semantic Data Models.
Proceedings of the Data Management Technologies and Applications, 2017

Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents.
Proceedings of the 6th International Conference on Data Science, 2017

Index Clustering: A Map-reduce Clustering Approach using Numba.
Proceedings of the 6th International Conference on Data Science, 2017

keybin: Key-Based Binning for Distributed Clustering.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Scheduling Matters: Area-Oriented Heuristic for Resource Management.
Proceedings of the 28th International Symposium on Computer Architecture and High Performance Computing, 2016

TAO: System for Table Detection and Extraction from PDF Documents.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Crowdlearning: A framework for collaborative and personalized learning.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2015
HiCOMB 2015 Keynote and Invited Talks.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud.
Proceedings of the 44th International Conference on Parallel Processing, 2015

A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Accurate Scoring of Drug Conformations at the Extreme Scale.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Enabling In-Situ Data Analysis for Large Protein-Folding Trajectory Datasets.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Time Series Join on Subsequence Correlation.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Gender and volunteer computing: A survey study.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2013
On the powerful use of simulations in the Quake-Catcher Network to efficiently position low-cost earthquake sensors.
Future Gener. Comput. Syst., 2013

Performance Dissection of a Molecular Dynamics Code across CUDA and GPU Generations.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Benchmarking Gender Differences in Volunteer Computing Projects.
Proceedings of the 9th IEEE International Conference on eScience, 2013

On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012
A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach.
Comput. Biol. Medicine, 2012

On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011
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., 2011

Poster: study of protein-ligand binding geometries using a scalable and accurate octree-based algorithm in mapReduce.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

Providing Quality of Science in Volunteer Computing.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

2010
Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC.
J. Grid Comput., 2009

EmBOINC: An emulator for performance analysis of BOINC projects.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization.
Proceedings of the Computational Science, 2009

Modeling Job Lifespan Delays in Volunteer Computing Projects.
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009

2008
A distributed evolutionary method to design scheduling policies for volunteer computing.
SIGMETRICS Perform. Evaluation Rev., 2008

2007
SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects.
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation, 2007

Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2006
Poster reception - SimBA: a discrete event simulator for performance prediction of volunteer computing projects.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

compPknots: A Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots.
Proceedings of the Frontiers of High Performance Computing and Networking, 2006

The Effectiveness of Threshold-Based Scheduling Policies in BOINC Projects.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

2005
Identification of Stellar Population in Galactic Spectra Using the Hierarchical Desicion Ensemble.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005


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