Rosa Filgueira

Orcid: 0000-0002-5715-3046

Affiliations:
  • University of St Andrews, UK
  • University Edinburgh, UK (former)


According to our database1, Rosa Filgueira authored at least 62 papers between 2005 and 2024.

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Bibliography

2024
Parallel mutation testing for large scale systems.
Clust. Comput., April, 2024

2023
Workflows Community Summit 2022: A Roadmap Revolution.
CoRR, 2023

Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Optimization towards Efficiency and Stateful of dispel4py.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

frances: Cloud-Based Historical Text Mining with Deep Learning and Parallel Processing.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

RepoGraph: A Novel Semantic Code Exploration Tool for Python Repositories Based on Knowledge Graphs and Deep Learning.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Building Lightweight Semantic Search Engines.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Message from the IEEE eScience 2023 Conference Leadership eScience 2023.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Mapping the Repository Landscape: Harnessing Similarity with RepoSim and RepoSnipy.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Scalable adaptive optimizations for stream-based workflows in multi-HPC-clusters and cloud infrastructures.
Future Gener. Comput. Syst., 2022


Inspect4py: A Knowledge Extraction Framework for Python Code Repositories.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Validating communication network configurations in cloud and HPC systems using Metamorphic Testing.
Proceedings of the IECC 2022: 4th International Electronics Communication Conference, Tokyo, Japan, July 8, 2022

frances: A Deep Learning NLP and Text Mining Web Tool to Unlock Historical Digital Collections: A Case Study on the Encyclopaedia Britannica.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021


Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Extending defoe for the Efficient Analysis of Historical Texts at Scale.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud.
J. Open Source Softw., 2020

Automatic detection of Ionospheric Alfvén Resonances in magnetic spectrograms using U-net.
Comput. Geosci., 2020

Adaptive Optimizations for Stream-based Workflows.
Proceedings of the IEEE/ACM Workflows in Support of Large-Scale Science, 2020

2019
Using simple PID-inspired controllers for online resilient resource management of distributed scientific workflows.
Future Gener. Comput. Syst., 2019

DARE Platform: Enabling Easy Data-Intensive Workflow Composition and Deployment.
Proceedings of Workshop on Research Objects (RO2019), 2019

Automatic classification of Aurora-related tweets using machine learning methods.
Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis, 2019

DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud.
Proceedings of the 15th International Conference on eScience, 2019

defoe: A Spark-Based Toolbox for Analysing Digital Historical Textual Data.
Proceedings of the 15th International Conference on eScience, 2019

Comprehensible Control for Researchers and Developers Facing Data Challenges.
Proceedings of the 15th International Conference on eScience, 2019

2018
Corrigendum to "WFCatalog: A catalogue for seismological waveform data" [Comput. Geosci. 106 (2017) 101-108].
Comput. Geosci., 2018

Establishing Core Concepts for Information-Powered Collaborations.
Future Gener. Comput. Syst., 2018

IoT-Hub: New IoT Data-Platform for Virtual Research Environments.
Proceedings of the 10th International Workshop on Science Gateways, 2018

2017
dispel4py.
Int. J. High Perform. Comput. Appl., 2017

WFCatalog: A catalogue for seismological waveform data.
Comput. Geosci., 2017

A characterization of workflow management systems for extreme-scale applications.
Future Gener. Comput. Syst., 2017

2016
Using Simple PID Controllers to Prevent and Mitigate Faults in Scientific Workflows.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Asterism: Pegasus and Dispel4py Hybrid Workflows for Data-Intensive Science.
Proceedings of the Seventh International Workshop on Data-Intensive Computing in the Clouds, 2016

Rethinking High Performance Computing Platforms: Challenges, Opportunities and Recommendations.
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016

Automating environmental computing applications with scientific workflows.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015
dispel4py: a Python framework for data-intensive eScience.
Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015

dispel4py: An Agile Framework for Data-Intensive eScience.
Proceedings of the 11th IEEE International Conference on e-Science, 2015


2014
Workflows in a dashboard: a new generation of usability.
Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science, 2014

dispel4py: a Python framework for data-intensive scientific computing.
Proceedings of the 2014 International Workshop on Data Intensive Scalable Computing Systems, 2014

FAST: flexible automated synchronization transfer.
Proceedings of the DIDC'14, 2014

Applying Selectively Parallel I/O Compression to Parallel Storage Systems.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

eScience Gateway Stimulating Collaboration in Rock Physics and Volcanology.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013
The Cloud Paradigm Applied to e-Health.
BMC Medical Informatics Decis. Mak., 2013

SANComSim: A Scalable, Adaptive and Non-intrusive Framework to Optimize Performance in Computational Science Applications.
Proceedings of the International Conference on Computational Science, 2013

MPI collective I/O based on advanced reservations to obtain performance guarantees from shared storage systems.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Dynamic-CoMPI: dynamic optimization techniques for MPI parallel applications.
J. Supercomput., 2012

SIMCAN: A flexible, scalable and expandable simulation platform for modelling and simulating distributed architectures and applications.
Simul. Model. Pract. Theory, 2012

Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications.
Proceedings of the International Conference on Computational Science, 2012

Poster: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

An Adaptive, Scalable, and Portable Technique for Speeding Up MPI-Based Applications.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011
Adaptive-Compi: Enhancing Mpi-Based Applications' Performance and Scalability by using Adaptive Compression.
Int. J. High Perform. Comput. Appl., 2011

2009
CoMPI: Enhancing MPI Based Applications Performance and Scalability Using Run-Time Compression.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2009

2008
Data Locality Aware Strategy for Two-Phase Collective I/O.
Proceedings of the High Performance Computing for Computational Science, 2008

Exploiting data compression in collective I/O techniques.
Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008

2007
Optimization and evaluation of parallel I/O in BIPS3D parallel irregular application.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2005
Specifying use case behavior with interaction models.
J. Object Technol., 2005


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